#OpenCL

[govindhtech]

AMD Ryzen 7 8700G APU Zen 4 & Polaris Wonders!

AMD Ryzen 7 8700G APU The company formidable main processing unit (APU) with Zen 4 framework and Polaris designs, the AMD Ryzen 7 processor 8700G

The conclusions of the assessments for the Ryzen 5 processor from AMD 8600G had previously revealed this morning, and now some of the most recent measurements from the Ryzen 7 8700G APU graph G have been released made public. Among AMD’s Hawk A point generation of advanced processing units (APUs), the upcoming Ryzen 7 8700G APU will represent the top of the lineup of the The AM5 series desktops APU. That is going to have an identical blend of Zen 4 and RDNA 3 cores in a single monolithic package.

Featuring 16 MB of L3 memory cache and 8 megabytes of L2 cache, the aforementioned AMD Ryzen 7 8700G APU features a total of 8 CPU cores and a total of 16 threads built onto it. It is possible to quicken the clock to 5.10 GHz from its base frequency of 4.20 GHz. A Radeon 780M based on RDNA 3 with 12 compute units and a clock speed of 2.9 GHz is included in the integrated graphics processing unit (GPU). It is anticipated that future Hawk Point APUs would have support for 64GB DDR5 modules, which will allow for a maximum of 256GB of DRAM capacity to be used on the AM5 architecture.

The study ASUS TUF Extreme X670E-PLUS wireless internet chipset with 32GB of DDR5 4800 RAM was used for the performance tests that were carried out. Because of this design, it is anticipated that the performance would be somewhat reduced. The Hawk Point APUs and the AM5 platform are both compatible with faster memory modules, which may lead to improved performance. This is made possible by the greater bandwidth that is advantageous to the integrated graphics processing unit (iGPU).

The AMD Ryzen 7 8700G “Hawk Point” APU was able to reach a performance of 35,427 points in the Vulkan benchmark, while it earned 29,244 points in the OpenCL benchmark. With the Ryzen 5 8600G equipped with the Radeon 760M integrated graphics processing unit, this results in a 15% improvement in Vulkan and an 18% increase in OpenCL. The 760M integrated graphics processing unit (iGPU) has only 8 compute units, but the AMD 780M has 12 compute units.

In spite of the fact that the 760M integrated graphics processing unit (iGPU) has faster DDR5 6000 memory, performance does not seem to rise linearly whenever there are fifty percent more cores. It would seem that this is the maximum performance that the Radeon IGPs are capable of. The results of future testing, particularly those involving overclocking, will be fascinating. However, the Meteor Lake integrated graphics processing units (iGPUs) might be improved with better quality memory configurations (LPDDR5x).

With the debut of the AM5 “Hawk Point” APUs at the end of January, it is anticipated that the RDNA 3 chips would provide increased performance for the integrated graphics processing unit (iGPU). At AMD’s next CES 2024 event, it is anticipated that further details will be discussed and revealed.

Read more on Govindhtech.com

[devsnews]

Microsoft recently added support for GPU Video Acceleration by building on top of the existing Mesa 3D D3D12 backend and integrating the VAAPI Mesa frontend. Several Linux media apps use the VAAPI interface to access hardware video acceleration when available, which can now be leveraged in WSLg. Read this article to know more about this feature.

[cerulity]

LANGUAGE(ISH) PROPOSAL

A language that unifies C#, Rust, and CUDA/OpenCL.

Heres why:

C# is a featureful, rich language. There’s so much that the language provides, and so much you can do. It has interfaces, indexers, properties, abstracts, attributes, and more. Where it falls short, however, Rust picks it up. C# variables are not thread-safe by default, and nulls are allowed by default (although the `lock` keyword and `?` suffix do help). There is also no immutability or macros. Rust guarantees a lot with compile-time checking. You know that when a function returns an i32, you WILL get an i32. However, once you get into higher-level code, managing memory safely and efficiently can get painful, and multithreading is a whole other problem. Even if it is safe, Rust gets a bit too eager with it’s management. Having that link between infallible functionality and lenient, intricate structure is good. CUDA/OpenCL is pulled into this because they provide GPU interfacing, which is just nice to have. If you don’t want that, then it’s just C++, which has good memory access.

The ‘language’ part would kinda just be links between the three. FFI can be a problem. C# classes and Rust structs are both different, Rust handles strings differently than C# and C++ (lengthed vs null terminated), and there’s a bit of friction when interfacing between them. The language would simplify the process. You can have “rsstr” and “cstr” and switch between them, or you can just have “str” and convert to it’s native definition (&str, char*, string) when taken as a function parameter or passed through to a function. You can have a “csclass” that can be converted to a “struct” and back.

[kyousystem]

I think I figured out why GNU Backgammon's evaluations have been so stubbornly slow, even despite all of my rewriting, refactoring, and optimizing.

On a whim, I tried turning the "evaluation threads" counter in the options menu all the way down to 1 (from the two dozen or so I had it set at before)... yet the performance / evaluation time was completely identical. I dug a little deeper, and everything I've found thus far has confirmed my suspicion:

The evaluations are all being performed one at a time, in serial.

On one hand, really? Fucking REALLY? I get that this codebase has all the structure and maintainability of a mud puddle, and that the developers are volunteers, but this is egregious!

On the other hand, this will make improving the engine's performance yet further a much simpler task. No need to break out OpenCL if plain ol' threads aren't being properly utilized, heheh.

[soslomo]

Opencl benchmark ucsd

Opencl benchmark ucsd how to#

Opencl benchmark ucsd full#

Opencl benchmark ucsd portable#

Opencl benchmark ucsd software#

This allows the science applications to manage the network as a first-class schedulable resource in a manner similar to instruments, compute, and storage.

Opencl benchmark ucsd software#

Intelligent orchestrator and software defined systems allow for more » custom tailoring of scalability and realtime responsiveness based on individual application and infrastructure operator requirements. An intent based interface allows applications to express their high-level service requirements. The SENSE system includes a model-based architecture, implementation, and deployment which enables end-to-end network service instantiation across administrative domains. The SENSE system allows National Labs and Universities to request and provision end-to-end intelligent network services for their application workflows leveraging Software Defined Network (SDN) capabilities. The Software-defined network for End-to-end Networked Science at Exascale (SENSE) research developed intelligent network services to accelerate scientific discovery in the era of big data driven by Exascale, cloud computing, machine learning and artificial intelligence. ROSE’s predefined DSL Building Blocks (for example the Fortran base language) are represented as abstract language plugins and DSL developers can use Rosebud to construct additional building blocks in the same way. These plugins implement a form of generalized DSL which includes both concrete languages used to write application source code and abstract languages used within the compilation process. The Rosebud framework is a cohesive interface allowing modular DSL plugins to be developed independently and then distributed and combined in HPC applications. The research explored in this project provided the more » expression of the Fortran grammar in SDF form for integration with the Rosebud DSL framework developed by Rice University. In the final year of the project, the Fortran parser was updated to comply with the complete 2018 standard, as specified in the ISO/IEC document, JTC 1/SC 22/WG 5/N2146.

Opencl benchmark ucsd full#

The developed Fortran parser incorporates the full Fortran 2008 standard with extensions from the more recent document, TS 29113, “Further Interoperability of Fortran with C,” (to be included in the Fortran 2018 standard). Primary partners in this effort were Rice University and Lawrence Livermore National Laboratory. The University of Oregon has produced a Fortran parser based on an SDF (Syntax Definition Formalism) grammar. This report provides a summary of the research and development work on the D-TEC project at Rice University.

Opencl benchmark ucsd how to#

D-TEC research and more » development work at Rice University focused on on three principal topics: understanding how to automate the tuning of code for complex architectures, research and development of the Rosebud DSL engine, and compiler technology to support complex execution platforms. Different aspects of the D-TEC research portfolio were the focus of work at each of the partner institutions in the multi-institutional project. As a result, developing a general toolkit for building domain-specific languages was a key goal for the D-TEC project. If leveraging domain specificity is the key to keep exascale software tractable, a corollary is that many different DSLs will be needed to encompass the full range of exascale computing applications moreover, a single application may well need to use several different DSLs in conjunction. Domain specificity is what makes these properties possible in a programming language. Two chief properties contribute: DSLs permit expression at a high level of abstraction so that a programmer’s intent is clear to a compiler and DSL implementations encapsulate human domain-specific optimization knowledge so that a compiler can be smart enough to achieve good results on specific hardware.

Opencl benchmark ucsd portable#

DSLs employ automated code transformation to shift the burden of delivering portable performance from application programmers to compilers. A multi-institutional project known as D-TEC (short for “Domain- specific Technology for Exascale Computing”) set out to explore technologies to support the construction of Domain Specific Languages (DSLs) to map application programs to exascale architectures.

[tonkicreditcard]

Opencl benchmark mac

Opencl benchmark mac drivers#

Opencl benchmark mac update#

Opencl benchmark mac pro#

Single-precision Floating-point support (core)Ĭorrectly-rounded divide and sqrt operations Yesĭouble-precision Floating-point support (n/a) Half-precision Floating-point support (n/a) Preferred work group size multiple (kernel) 32 Platform Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event Memory.Total.: 5461 MB (limited to 512 MB allocatable in one block) Hashcat (v6.2.4) starting in backend information mode 1500, 900, 50, 60) fail in the same manner.įor now, the Homebrew formula is stuck at v6.1.1. Zsh: abort hashcat -benchmark -m 0 -D 1,2 -w 2

Opencl benchmark mac drivers#

* Device #1: Apple's OpenCL drivers (GPU) are known to be unreliable. : OpenCL Error : Failed to retrieve device information! Invalid enumerated value! Hashcat (v6.2.4) starting in benchmark mode Speed.#1.: 1739.1 MH/s (7.35ms) Accel:256 Loops:1024 Thr:256 Vec:1Īs of v6.2.0, it simply stops without output, even when built with DEBUG enabled: % export CL_LOG_ERRORS=stdout Hashcat (v6.1.1) starting in benchmark mode. That's a market Apple has zero interest in and more of a bother than the iPod touch market.The last version that the Apple Silicon (M1) platform ran the benchmark on was 6.1.1: % hashcat -benchmark -m 0 -D 1,2 -w 2 Microsoft, Intel and AMD beware! Apple's going to take a bite of your lunch on the top 20% of the PC market.Įxcluding of course PCMR types. Performance per Watt is very important to data centers too.

Opencl benchmark mac pro#

Once Apple releases iMac Pro(?) and Mac Pro with Apple Silicon I expect them to reintroduce Xserve. Wait for next year for power users like yourselves. If you're a regular on r/hardware then the M1 Macs are probably not for you. 10GbE port will be an option by next year. With the same number of ports as the Intel Macs sold today on. Are there enough budget Mac users with an eGPU that is more expensive than their Mac that nominally cost ~$1,000?Īll Macs will get Apple Silicon.

Opencl benchmark mac update#

I expect eGPU support to come with a future update to macOS Big Sur when higher-end Macs will sport Apple Silicon. Sorry pros you're far fewer than the mass market of users. So it is logical from management, financial and supply chain point of view to prioritize the ~80% of all Macs shipped. This has the greatest impact on the bottom line. In business, management often look at the largest cost center to prioritize over the 2nd highest or lower cost centers. The M1 chip limited by 16GB of RAM, the best in class iGPU whose performance is comparable to a GTX 1050 Ti and that allows battery life from 10 hours to 20 hours will have a future variant for higher-end Macs with more RAM, an iGPU that has better than GTX 1050 Ti performance and battery life of ~2x. So be patient the Mac you want to buy will get a higher-end Apple Silicon chip within ~7 months. These Macs represent ~80% of all Macs shipped. The M1 chip is designed to refresh the lowest-end Macs that Apple makes.

[forlinx]

Introduction to RK3588

What is RK3588?

RK3588 is a universal SoC with ARM architecture, which integrates quad-core Cortex-A76 (large core) and quad-core Cortex-A55(small core). Equipped with G610 MP4 GPU, which can run complex graphics processing smoothly. Embedded 3D GPU makes RK3588 fully compatible with OpenGLES 1.1, 2.0 and 3.2, OpenCL up to 2.2 and Vulkan1.2. A special 2D hardware engine with MMU will maximize display performance and provide smooth operation. And a 6 TOPs NPU empowers various AI scenarios, providing possibilities for local offline AI computing in complex scenarios, complex video stream analysis, and other applications. Built-in a variety of powerful embedded hardware engines, support 8K@60fps H.265 and VP9 decoders, 8K@30fps H.264 decoders and 4K@60fps AV1 decoders; support 8K@30fps H.264 and H.265 encoder, high-quality JPEG encoder/decoder, dedicated image pre-processor and post-processor.

RK3588 also introduces a new generation of fully hardware-based ISP (Image Signal Processor) with a maximum of 48 million pixels, implementing many algorithm accelerators, such as HDR, 3A, LSC, 3DNR, 2DNR, sharpening, dehaze, fisheye correction, gamma Correction, etc., have a wide range of applications in graphics post-processing. RK3588 integrates Rockchip's new generation NPU, which can support INT4/INT8/INT16/FP16 hybrid computing. Its strong compatibility can easily convert network models based on a series of frameworks such as TensorFlow / MXNet / PyTorch / Caffe. RK3588 has a high-performance 4-channel external memory interface (LPDDR4/LPDDR4X/LPDDR5), capable of supporting demanding memory bandwidth.

RK3588 Block Diagram

Advantages of RK3588?

Computing: RK3588 integrates quad-core Cortex-A76 and quad-core Cortex-A55, G610 MP4 graphics processor, and a separate NEON coprocessor. Integrating the third-generation NPU self-developed by Rockchip, computing power 6TOPS, which can meet the computing power requirements of most artificial intelligence models.

Vision: support multi-camera input, ISP3.0, high-quality audio;

Display: support multi-screen display, 8K high-quality, 3D display, etc.;

Video processing: support 8k video and multiple 4k codecs;

Communication: support multiple high-speed interfaces such as PCIe2.0 and PCIe3.0, USB3.0, and Gigabit Ethernet;

Operating system: Android 12 is supported. Linux and Ubuntu will be developed in succession;

FET3588-C SoM based on Rockchip RK3588

Forlinx FET3588-C SoM inherits all advantages of RK3588. The following introduces it from structure and hardware design.

1. Structure:

The SoM size is 50mm x 68mm, smaller than most RK3588 SoMs on market;

100pin ultra-thin connector is used to connect SoM and carrier board. The combined height of connectors is 1.5mm, which greatly reduces the thickness of SoM; four mounting holes with a diameter of 2.2mm are reserved at the four corners of SoM. The product is used in a vibration environment can install fixing screws to improve the reliability of product connections.

2. Hardware Design:

FET3568-C SoM uses 12V power supply. A higher power supply voltage can increase the upper limit of power supply and reduce line loss. Ensure that the Forlinx’s SoM can run stably for a long time at full load. The power supply adopts RK single PMIC solution, which supports dynamic frequency modulation.

FET3568-C SoM uses 4 pieces of 100pin connectors, with a total of 400 pins; all the functions that can be extracted from processor are all extracted, and ground loop pins of high-speed signal are sufficient, and power supply and loop pins are sufficient to ensure signal integrity and power integrity.

The default memory configuration of FET3568-C SoM supports 4GB/8GB (up to 32GB) LPDDR4/LPDDR4X-4266; default storage configuration supports 32GB/64GB (larger storage is optional) eMMC; Each interface signal and power supply of SoM and carrier board have been strictly tested to ensure that the signal quality is good and the power wave is within specified range.

PCB layout: Forlinx uses top layer-GND-POWER-bottom layer to ensure the continuity and stability of signals.

RK3588 SoM hardware design Guide

FET3588-C SoM has integrated power supply and storage circuit in a small module. The required external circuit is very simple. A minimal system only needs power supply and startup configuration to run, as shown in the figure below:

The minimum system includes SoM power supply, system flashing circuit, and debugging serial port circuit. The minimum system schematic diagram can be found in "OK3588-C_Hardware Manual". However, in general, it is recommended to connect some external devices, such as debugging serial port, otherwise user cannot judge whether system is started. After completing these, on this basis, add the functions required by user according to default interface definition of RK3588 SoM provided by Forlinx.

RK3588 Carrier Board Hardware Design Guide

The interface resources derived from Forlinx embedded OK3588-C development board are very rich, which provides great convenience for customers' development and testing. Moreover, OK3588-C development board has passed rigorous tests and can provide stable performance support for customers' high-end applications.

In order to facilitate user's secondary development, Forlinx provides RK3588 hardware design guidelines to annotate the problems that may be encountered during design process of RK3588. We want to help users make the research and development process simpler and more efficient, and make customers' products smarter and more stable. Due to the large amount of content, only a few guidelines for interface design are listed here. For details, you can contact us online to obtain "OK3588-C_Hardware Manual" (Click to Inquiry)

[milannefinds]

Blackmagic Design DaVinci Resolve Studio 19.0.0.33 for MacOS - FileCR

Download Free Download Blackmagic Design DaVinci Resolve Studio for macOS full version standalone offline installer. It is the world’s only solution that combines professional 8K editing, color correction, visual effects, and audio post-production in one software tool!

Overview of Blackmagic Design DaVinci Resolve Studio for macOS

DaVinci Resolve includes everything professional editors need to cut blockbuster films, television shows, and commercials. It’s perfect for both offline and online editing. The high-performance playback engine makes editing and trimming fast, even for processor-intensive formats such as H.264 and RAW. Featuring a universal timeline, robust database-driven design, bin, and clip locking, built-in chat, timeline comparison tools, and more, DaVinci Resolve Studio is the world’s only post-production solution that lets different artists all work. Together on the same project at the same time! Blackmagic RAW is a new and modern codec that gives you stunning image quality and blazing-fast performance in an intelligent new file format. Featuring advanced de-mosaic technology and a revolutionary intelligent design, Blackmagic RAW gives you both the quality and benefits of RAW with speed, ease of use, and file sizes of traditional video formats. Features of Blackmagic Design DaVinci Resolve Studio for macOS - Introducing the Cut Page! - Fairlight Console LCD Monitor - Legendary DaVinci Quality - New and Improved ResolveFX - DaVinci Neural Engine - Enhanced Loudness Monitoring - Copy and Paste Attributes - Faster 3D Performance - Better Memory Management - Tape Style Audio Scrubbing - Intelligent Edit Modes - Transform, Retime, and Stabilize Technical Details and System Requirements - Mac 10.15 Catalina - 8 GB of system memory. 16 GB when using Fusion - Blackmagic Design Desktop Video 12.0 or later - Integrated GPU or discrete GPU with at least 2 GB of VRAM - GPU, which supports Metal or OpenCL 1.2 Read the full article

[ronnieroy-forlinx]

Forlinx FET3588J-C: Hardware Solution Customized for Marine Instrument Panel Technology

Marine instrument panels are critical display and monitoring devices on ships, crucial for ensuring maritime safety, efficiency, and comfort. Real-time monitoring of vital ship information such as position, speed, heading, and engine status through marine instrument panels enables prompt adjustments and decision-making. They not only enhance the precision and reliability of ship operations but also help reduce accident risks, ensuring safe navigation. Moreover, the digital and intelligent design of marine instrument panels allows crew members to manage and control ships more efficiently, improving operational efficiency. They are key tools for ship operation and management.

With the continuous advancement of maritime technology, there is an increasing demand for intelligence and digitization in modern ships. As a core component for ship information display and monitoring, the performance and stability of marine instrument panels are crucial to meet modern maritime needs for information display, data monitoring, and navigation safety. Specific objectives include:

Providing a clear and intuitive instrument display interface enables crew members to quickly access navigation information.

Facilitating compatibility with various data interfaces enables seamless data transmission with onboard sensors and equipment.

Ensuring that instrument panels can operate stably in harsh maritime environments, with high resistance to interference and waterproof performance, is essential.

Based on the above characteristics, the hardware platform of modern marine instrument panels should possess the following features:

High-performance processor: Ensures fast response and accurate display of navigation information, equipped with powerful data processing and graphic rendering capabilities.

Rich Data Interfaces: Integrated with multiple data interfaces such as display ports, serial ports, Ethernet ports, USB ports, etc., enabling seamless connection with various sensors and devices onboard ships for easy data display, real-time acquisition, and transmission.

Reliability Design: The hardware itself demands high quality and stability to ensure long-term reliable operation in harsh maritime environments.

Based on a modern marine instrument screen hardware platform, Forlinx Embedded recommends FET3588J-C as the hardware development solution.

Product Characteristics

High-performance processor: Quad-core 64-bit Cortex-A72 + quad-core Cortex-A55 architecture with integrated 6 TOPS NPU for enhanced AI learning and edge computing capabilities in diverse operational scenarios.

Rich Display Interfaces: Offers multiple interfaces such as HDMI, eDP, DP, MIPI-DSI, supporting various display types including up to 8K output, meeting diverse requirements for maritime instrumentation screens. At the same time, it supports four-screen display function, which enables the crew to monitor multiple important parameters at the same time and improve work efficiency.

High-efficiency Graphics Processing: Integrates ARM Mali-G610 MP4 quad-core GPU, fully compatible with OpenGLES 1.1, 2.0, and 3.2, OpenCL up to 2.2, and Vulkan 1.2. Enables maritime instrumentation screens to efficiently handle complex graphic tasks such as real-time rendering and 3D map display, enhancing user operational experience.

Versatile Peripheral Interfaces: Features include dual Gigabit Ethernet, USB 3.1, PCIe 3.0, and 10 UART ports, enhancing data speed and efficiency. This strengthens maritime instrumentation screen functionality, meets navigation needs, and ensures stable data transmission and efficient device communication.

Robust and Reliable Performance: The RK3588J platform meets industrial-grade temperature range standards and has undergone rigorous testing to provide stable performance support for high-end applications. During maritime navigation, stable and reliable instrumentation screens are crucial for ensuring the safety of vessels. FET3588J-C SoM's excellent performance ensures reliable operation of the instrumentation screen in harsh environments, providing accurate data feedback to the crew.

Related products:

With the continuous advancement of maritime technology, there is an increasing demand for intelligence and digitization in modern ships. As a core component for ship information display and monitoring, the performance and stability of marine instrument panels are crucial to meet modern maritime needs for information display, data monitoring, and navigation safety. Specific objectives include:

Providing a clear and intuitive instrument display interface enables crew members to quickly access navigation information.

Facilitating compatibility with various data interfaces enables seamless data transmission with onboard sensors and equipment.

Ensuring that instrument panels can operate stably in harsh maritime environments, with high resistance to interference and waterproof performance, is essential.

Based on the above characteristics, the hardware platform of modern marine instrument panels should possess the following features:

High-performance processor: Ensures fast response and accurate display of navigation information, equipped with powerful data processing and graphic rendering capabilities.

Rich Data Interfaces: Integrated with multiple data interfaces such as display ports, serial ports, Ethernet ports, USB ports, etc., enabling seamless connection with various sensors and devices onboard ships for easy data display, real-time acquisition, and transmission.

Reliability Design: The hardware itself demands high quality and stability to ensure long-term reliable operation in harsh maritime environments.

Based on a modern marine instrument screen hardware platform, Forlinx Embedded recommends FET3588J-C as the hardware development solution.

Product Characteristics

High-performance processor: Quad-core 64-bit Cortex-A72 + quad-core Cortex-A55 architecture with integrated 6 TOPS NPU for enhanced AI learning and edge computing capabilities in diverse operational scenarios.

Rich Display Interfaces: Offers multiple interfaces such as HDMI, eDP, DP, MIPI-DSI, supporting various display types including up to 8K output, meeting diverse requirements for maritime instrumentation screens. At the same time, it supports four-screen display function, which enables the crew to monitor multiple important parameters at the same time and improve work efficiency.

High-efficiency Graphics Processing: Integrates ARM Mali-G610 MP4 quad-core GPU, fully compatible with OpenGLES 1.1, 2.0, and 3.2, OpenCL up to 2.2, and Vulkan 1.2. Enables maritime instrumentation screens to efficiently handle complex graphic tasks such as real-time rendering and 3D map display, enhancing user operational experience.

Versatile Peripheral Interfaces: Features include dual Gigabit Ethernet, USB 3.1, PCIe 3.0, and 10 UART ports, enhancing data speed and efficiency. This strengthens maritime instrumentation screen functionality, meets navigation needs, and ensures stable data transmission and efficient device communication.

Robust and Reliable Performance: The RK3588J platform meets industrial-grade temperature range standards and has undergone rigorous testing to provide stable performance support for high-end applications. During maritime navigation, stable and reliable instrumentation screens are crucial for ensuring the safety of vessels. FET3588J-C SoM's excellent performance ensures reliable operation of the instrumentation screen in harsh environments, providing accurate data feedback to the crew.

[govindhtech]

Game Changer Alert: AMD Ryzen 5 8600G Graphics Unleashed!

The Ryzen 5 8600G Graphics from AMD

AMD instead continues generating waves in the continually changing field of computing hardware by introducing the accessible Ryzen 5 8600G CPU, having an especially strong focus on the built-in graphic capabilities of the chip.

Geekbench 6 Benchmarks of the Ryzen 5 8600G

The benchmark results of AMD’s Ryzen 5 8600G have been recently leaked on Geekbench 6, which has shed light on the scores and provided a look into the graphics performance that is predicted for the chip.With scores of 30,770 points in Vulkan and 24,842 points in OpenCL, the Ryzen 5 8600G exhibits impressive performance when analyzed using the precise performance measures that are available in Geekbench 6.

An Outstanding Graphics Processor known as the Radeon 760M

a number of the biggest and most significant aspects of the Ryzen 5 8600G is the Radeon 760M integrated graphic processor, which has a speed of operation of 2.8GHz. Let’s get started take an additional look at the characteristics that truly set this graphics processor apart from others.A comparison of the Radeon 760M found in the 8600G to its mobile equivalents is revealed as investigate the variances that exist between the desktop and mobile versions of the graphics card.

In comparison to the GTX 1060 and Ryzen 5 8600G:

At the same time as the Ryzen 5 8600G gets test results comparable to those of the aged but still relevant desktop GTX 1060, comparisons with Nvidia’s GTX 1060 are becoming more prevalent.

AMD’s Integrated Graphics provide an advantage

The 8600G from AMD is notable for its outstanding performance, which is accompanied by a much reduced power consumption. This exemplifies the effectiveness of integrated graphics by showcasing its efficiency.

DDR5-6000 DIMMs: Performance of the 8600G

It is a purposeful decision that has a good influence on the overall performance of the 8600G because AMD combines it with two 16GB DDR5-6000 DIMMs. The following is done with the objective to boost the performance of the 8600G. This Ryzen 5 8600G is a tempting decision over gamers who want to play on a tighter budget.

The research AMD Ryzen 5 8600G shows up as an acceptable budget-friendly gameplay an approach especially to people who are upon a low economy. The machine’s gaming the parameters are equivalent to those of the GTX 1060.

Prospects for the Ryzen 8000G Lineup

AMD investigate the possible upgrades that might be made to the Ryzen 8000G portfolio, which hint to even more remarkable integrated graphics possibilities, in anticipation of future launches.

Ryzen 7 8700G: A Powerhouse That Has Been Rumored

There are rumors going around concerning the Ryzen 7 8700G, which may be influenced by the Radeon 780M in order to achieve a performance boost of around fifty percent. What possibilities does this have for gamers?

Things You can Expect at the Annual Consumer Computer Show in 2024

An increasing quantity of observers are predicting AMD to issue official comments and display the Ryzen 8000G series around the next upcoming Consumer Electronics Show (CES) in 2024.

Concluding Remarks:

A Gaming Solution That Is Friendly to Your Budget In conclusion, the Ryzen 5 8600G may be considered a great alternative for gamers who are concerned about their financial situation. It provides comparable performance without the need of a dedicated graphics processing unit (GPU).

Read more on Govindhtech.com

[ujjinatd]

AMD pulveriza la RTX 4090 de Nvidia en el popular benchmark Geekbench OpenCL, pero necesitarás una pequeña hipoteca para comprar la GPU más rápida jamás producida por AMD Introducido por primera vez a fina... https://ujjina.com/amd-pulveriza-la-rtx-4090-de-nvidia-en-el-popular-benchmark-geekbench-opencl-pero-necesitaras-una-pequena-hipoteca-para-comprar-la-gpu-mas-rapida-jamas-producida-por-amd/?feed_id=670113&_unique_id=66787199f223e

[vietngocbs]

Như bạn đã thấy. Vì thiết kế vi mạch đòi hỏi sự rõ ràng trong cách thức lập luận về điều kiện để luồng dữ liệu chảy ở mức cao hơn rất nhiều so với công nghệ thông tin (thử nhằn cấu trúc dữ liệu và giải thuật đi ạ) nên thách thức lớn nhất cho việc chuyển một triệu nhân sự từ ICT (Information and Communications Technology) sang ICD (Integrated Circuit Design) có lẽ là môi trường cho họ sinh sống và nghỉ ngơi sau giờ làm việc ạ. Và đây rõ ràng đây là điều bất khả trong tương lai gần bởi đó là số dân của một tỉnh trung bình nha. Haha :)))

Yepp. Có thể bạn cảm thấy buồn cười khi nghe việc nhiều bác sĩ thấy rất khó chịu vì ở đâu cũng có vi trùng nhưng đây là một triệu chứng trong hội chứng Rối loạn ám ảnh cưỡng chế (Obsessive-compulsive disorder - OCD). Có mã ICD10 là F42, ICD11 là 6B20, đây là một bệnh tâm căn được cho là nảy sinh từ sự lo lắng quá mức về sự thiếu vắng của một thao tác nào đó, như ở trường hợp bác sĩ là nguy cơ nhiễm trùng bệnh viện, nên rất có khả năng đây là một vấn đề sức khỏe chủ yếu ở những kỹ sư thiết kế vi mạch làm việc trong nước bởi sự vênh nhau chả hề nhẹ giữa cách họ nghĩ để làm với cách họ nghĩ để sống, ví dụ như một cái cần định nghĩa chi tiết còn một cái chả hề có luôn.

Ừ hứ. Kĩ sư cầu nối (Bridge System Engineer - BrSE) là người sẽ làm việc trực tiếp với khách hàng, kết nối và chịu trách nhiệm truyền đạt yêu cầu từ nội bộ khách hàng tới nhóm phát triển ở bên ngoài, đảm bảo hai bên hiểu nhau và hợp tác suôn sẻ, thuận lợi. Câu hỏi ở đây là nghiên cứu thị trường (cụ thể là khách hàng) và nghiên cứu khoa học giống và khác như thế nào? Có lấy cái này thay cái kia được chăng???

Yepp. Một dự án ICT hoàn chỉnh sẽ phải có các mục về phần cứng. Có điều đó hoặc là phần được thầu riêng hoặc là sử dụng tiếp các thiết bị có sẵn nên Software mới là phần trọng tâm khi làm kỹ sư cầu nối cho thị trường Nhật. Nó cũng đã gây khó khăn không ít cho đội vận hành khi họ vẫn đang xài đĩa mềm và chả muốn thay đổi. Huhu!

*Ngáp* "Trồng cây gì, nuôi con gì" là ví dụ minh họa cho Governance. Và để ra được đáp án thì cần cả nghiên cứu khoa học để biết cái gì thì sẽ thế nào lẫn nghiên cứu thị trường để làm rõ thế nào thì khách hàng chốt đơn. Nhưng theo mình, đây chỉ là điểm dễ thấy nhất thôi!

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Ừ hứ. Lý thuyết mà nói thì GPU của Ivy Bridge đã đủ khả năng tăng tốc giải mã media dùng chuẩn nén VP8 (Tức là tệp ảnh đuôi webp và nhiều tệp phim đuôi webm, nói là nhiều vì định dạng tệp WebM còn có thể chứa hình ảnh được mã hóa theo chuẩn VP9 và AV1) bởi S.o.C Atom Z3770 có tính năng này và có GPU thực ra là phiên bản cắt bớt đơn vị thực thi (Execution Units - EU) và xung nhịp của GPU có trong các chíp thế hệ ba cho máy tính để bàn và xách tay nên sự thiếu sót tính năng này chắc bởi vì chưa có chương trình điều khiển. Và do Intel đã ngừng việc phát triển chương trình điều khiển cho thế hệ chíp này nên sẽ cần đốt kha khá tiền để chứng minh năng lực giải quyết vấn đề thiếu điện (giảm tải CPU) ở quy mô toàn cầu này nha :D

Yepp. Ivy Bridge có hỗ trợ OpenCl (Open Computing Language) còn Sandy Bridge liền trước thì không và dù nhiều người đã viết chương trình giải mã VP8/VP9 bằng OpenCl nhưng hiện tại nó rất chậm khi chạy trên x86 nên chả còn ai quan tâm đến phương án này làm chi.

Ừ hứ. Intel có giới thiệu cách dùng Register-Transfer Level (RTL hay Cấp độ thanh ghi - chuyển đổi) để tối ưu mã lệnh OpenCl chạy trên FPGA và Google đã cung cấp miễn phí RTL của vi mạch giải mã VP8/VP9 cho bất kì công ty nào có nhu cầu thêm tính năng này vào sản phẩm thực tế. Nhưng hiệu năng của cách này trên GPU đến từ Intel hiện chưa đủ tốt nên việc phát minh lại cái bánh xe vẫn cần diễn ra :D

*Cho bạn nào chưa biết* Về cơ bản, RTL là sự thể hiện của mạch số dưới dạng luồng dữ liệu giữa các thanh ghi và các phép toán luận lý trên các tín hiệu mang dữ liệu đó. Tạo ra RTL hiện là bước đầu tiên để thiết kế vi mạch thuần số trước khi tái tạo nó bởi ngôn ngữ mô tả phần cứng như Verilog hay VHDL để máy tính tạo ra thiết kế mẫu ít trừu tượng hơn, tức làm hiện ra mối liên kết cụ thể giữa các linh kiện để tối ưu hoá bằng tay. Việc tối ưu hoá này rất mất thời gian nên đây là cơ hội cho các đơn vị bên ngoài khi giúp công ty thiết kế vi mạch có thể cắt giảm các chi phí kém ưu tiên như tiền cho cơ sở hạ tầng: Giá thuê văn phòng trung bình ở Âu Mỹ hiện đang gấp đôi giá thuê văn phòng hạng A ở Việt Nam (Và có nhiều nhân sự dưới chuẩn hơn)

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Chả biết. Vì dùng nhân Linux tiêu chuẩn nên chắc không cần sửa đổi nhiều để chạy Tizen trên WSL 2 như Windows Subsystem for Android đã bị ngưng do thu chả bù chi. (Tencent đã xác nhận tiếp tục chi tiền cho dự án nhưng hên xui vì hiện chỉ dành cho mỗi thị trường Đại lục) Tức là cản trở lớn nhất hiện giờ để Microsoft Store có mặt trên các thiết bị di động chỉ là các bên liên quan có muốn triển khai hay không

Nhân tiện thì rất nhiều chuyên gia đã kêu gọi ngưng dùng QtWebkit vì quá nhiều lỗ hổng bảo mật không được vá. Và lý do để vẫn còn sử dụng thư viện này là vì lõi Chromium chả tối ưu bộ nhớ như Webkit2.

[codeshive]

ME 766 : HW 3 solved

1. Create two matrices, A and B, each of size (N N). Write a CUDA or OpenCL (choice is yours) for computing C = AB. Report the times taken for the codes. Vary the size of the problem from N = 100 . . . 10000. Also report the specifications of the computer you are running this on. Also specs of the GPU (if any). 2. Choose A and B to be same as HW 2. 3. Submit your code and a report.

[codingprolab]

ME 766 : HW 3 

1. Create two matrices, A and B, each of size (N N). Write a CUDA or OpenCL (choice is yours) for computing C = AB. Report the times taken for the codes. Vary the size of the problem from N = 100 . . . 10000. Also report the specifications of the computer you are running this on. Also specs of the GPU (if any). 2. Choose A and B to be same as HW 2. 3. Submit your code and a report.

[frontproofmedia]

Retouch4me introduces AI-powered Dodge&Burn OFX and Heal OFX


Tallinn, May 14, 2024 — Retouch4me, a leading provider of innovative photo and video editing software solutions, today announced two new AI-based tools for video retouching. Retouch4me Dodge&Burn OFX applies sophisticated retouching techniques to lighten and darken specific areas of a human's face. Retouch4me Heal OFX automates the detection and retouching of minor skin imperfections. With these plugins, videographers achieve professionally retouched skin on their videos and save time for post-production. Each plugin is compatible with DaVinci Resolve. "Retouch4me Dodge&Burn and Heal are among our most popular AI-powered photo editing plugins, enhancing images using their respective techniques," comments Oleg Sharonov, Founder and Board Member of Retouch4me & 3D LUT Creator (RELU OÜ). "With our latest innovations, Dodge&Burn OFX and Heal OFX, we're taking their capabilities to video retouching. In principle, this type of video retouching has never been possible because it would require an effort akin to drawing cartoons." Key features of the Retouch4me Dodge&Burn OFX and Retouch4me Heal OFX: 1. Advanced skin retouching: Retouch4me Dodge&Burn OFX automatically applies dodge and burn techniques to lighten and darken portrait areas in video footage. The neural network behind the plugin uses the same techniques as world-class retouchers. Retouch4me Heal OFX swiftly detects and cleans skin defects like blemishes, pimples, or acne. 2. Preserve original skin: The skin texture in video footage remains untouched, ensuring natural-looking skin retouching without any glossiness or artificial appearance. 3. Easy to use: The entire footage can be retouched with just a click, saving hours compared to manual editing. 4. Pair smoothly: Dodge&Burn OFX pairs greatly with the Heal OFX to produce results that are even more impressive. 5. Control: Retouch4me plugins allow for control over the strength of editing.

Usage scenarios: commercial videos, weddings & events, stock footage, music videos, video blogs, and erotic videos. System and hardware requirements: • Compatibility: Compatible with Blackmagic DaVinci Resolve 18 or newer, which must be downloaded from the official Blackmagic website. • Operating systems: Windows 7 (x64), Windows 10 (x64), Windows 11, macOS 10.14+. • Minimum requirements: 6 GB of RAM; a 64-bit (x64) processor, 1.2 GHz or faster. • PC: GPU with 4GB RAM or Intel CPU with OpenCL 1.1 support. • MAC: 2015 or later, Intel, M1, or M2 CPUs. Availability: Demo and full versions of Retouch4me Dodge&Burn OFX and Retouch4me Heal OFX can be downloaded on the Retouch4me website. About Retouch4me: Retouch4me is a software company that provides innovative solutions for photo and video editing. With neural networks, our software automates manual tasks and delivers natural results, allowing creatives to focus on their artistry. We believe that combining AI and human creativity helps achieve superior results. Retouch4me improves the workflows of photographers, retouchers, and videographers in over 105 countries. Discover how to elevate yours at https://retouch4.me/

[teknolojihaber]

Asus, Çin'in 8 çekirdekli Zhaoxin KX-7000 işlemcisini test etti

Asus'un Çin ofisinin üst yöneticisi Tony Yu, Çin'in en yeni Zhaoxin KX-7000 işlemcisini test etti ve gözlemlerini Bilibili platformunda paylaştı. Zhaoxin KX-7000'in tüketici bilgisayarları için en yeni ve en gelişmiş Çin işlemcilerinden biri olduğu söylenebilir: geçen yılın sonunda piyasaya sürüldü ve buna dayalı ilk bilgisayarlar bu yılın ilk çeyreğinde ortaya çıktı.   Zhaoxin KX-7000, x86 Century Avenue mimarisini temel alan 7nm 8 çekirdekli, 8 iş parçacıklı bir CPU'dur. Düzen, fotoğrafta açıkça görülebilen yonga şeklindedir: CPU kristalinin alanı 78,6 mm2 , I/O kristalinin alanı 151,8 mm2'dir . İkinci düzey önbellek çekirdek başına 512 KB, üçüncü düzey ise 32 MB'tır. Temel frekans 3,2 GHz, maksimum 3,6 GHz'dir.

İşlemci DDR4-3200 ve DDR5-4800 belleği destekliyor, maksimum bellek desteği 128 GB'dır. Ayrıca DX12, OpenCL 1.2, OpenGL 4.6 ve H.265'i destekleyen yerleşik bir grafik çekirdeği (C1190) vardır ve video çıkışı DP, HDMI ve/veya VGA bağlantı noktaları aracılığıyla yapılabiliyor. Ayrıca dört SATA bağlantı noktası, 24 PCIe Gen4 hattı, 4 USB 3.2 Gen2 bağlantı noktası ve bir USB4.0 desteği de mevcut.

Dışarıdan Zhaoxin KX-7000 tipik bir Intel LGA 1700 işlemciye benziyor, bu hem bağlantılar hem de ısı dağıtım plakası için de geçerli. Böyle bir işlemci, Intel yonga setine dayalı bir anakarta bile yerleştirilebilir, ancak sistemin önyükleme yapması pek olası değil. 

Ancak sistem kesinlikle Asus'un Zhaoxin KX-7000 için özel olarak ürettiği anakartla önyükleme yapacak (neyse ki işlemci soketini yeniden icat etmeye gerek yok). Anakart mATX boyutundadır, iki DIMM yuvası, bir hata ayıklama LED'i, bir M.2 yuvası, iki SATA bağlantı noktası, iki PCIe x16 4.0 yuvası ve bir PCIe x1 4.0 ile donatılmış. Güç alt sistemi çok basittir, 6 + 2 faz şemasına göre uygulanıyor ve VRM'de soğutma yok.

Sentetik testlerden bahsedersek, Çinli bir işlemciden bahsettiğimiz gerçeğini hesaba katarsak her şey nispeten iyi. Zhaoxin KX-7000'in selefi KX-6780'den belirgin şekilde daha hızlı olduğu ortaya çıktı ve bazı testlerde (özellikle hız aşırtmada) Core i5-7500'den daha iyi performans gösteriyor. Tüm çekirdeklerde 3,6 GHz'e hız aşırtma, performansı çok iş parçacıklı testlerde , tek iş parçacıklı testlerde ise artırdı. Hız aşırtma olmadan CPU, kıyaslamalarda 85 W tüketiyor.

Ancak oyunlarda her şey oldukça üzücü: Zhaoxin KX-7000, GeForce RTX 4070 ile birlikte test edildi ve Cyberpunk 2077'de 4K çözünürlükte 46 FPS verebildi.

Zhaoxin KX-7000 performansıyla etkilemese de Çinli CPU üreticilerinin ne kadar hızlı ilerlediğini açıkça gösteriyor. kaynak:https://wccftech.com Read the full article