229 results for GPUs

www.bing.com/ck/a?!&&p=57dd4cec1e0d1623f75ed5e03e0bb1f9cf794866ac76bd9c7e71200b27ba9402JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=339ca355-a40a-65d8-1ae2-b441a51c6444&u=a1aHR0cHM6Ly93d3cubnZpZGlhLmNvbS9lbi11cy8&ntb=1

World Leader in Artificial Intelligence Computing | NVIDIA

NVIDIA GeForce RTX™ powers the world’s fastest GPUs and the ultimate platform for gamers and creators. Enjoy beautiful ray tracing, AI-powered DLSS, and much more in games and applications, …

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Meta and AMD Partner for Longterm AI Infrastructure Agreement

Feb 24, 2026 · We’re announcing a long-term agreement with AMD to power our AI infrastructure with up to 6GW of AMD Instinct GPUs, helping us build a flexible, resilient tech stack for our AI workloads.

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NVIDIA GeForce RTX 50 Series Gaming PCs - CyberPowerPC

Custom gaming PCs with the game changing power of NVIDIA GeForce RTX 50 Series GPUs.

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Gaming Laptops - CyberPowerPC

Explore CyberPowerPC gaming laptops. Select from a range of our Tracer gaming laptops with the latest Intel processors and NVIDIA GPUs.

arxiv.org/abs/2505.04556v1

Comparing CPU and GPU compute of PERMANOVA on MI300A

Comparing the tradeoffs of CPU and GPU compute for memory-heavy algorithms is often challenging, due to the drastically different memory subsystems on host CPUs and discrete GPUs. The AMD MI300A is an exception, since it sports both CPU and GPU cores...

arxiv.org/abs/2403.17092v1

A Unified CPU-GPU Protocol for GNN Training

Training a Graph Neural Network (GNN) model on large-scale graphs involves a high volume of data communication and computations. While state-of-the-art CPUs and GPUs feature high computing power, the Standard GNN training protocol adopted in existing...

arxiv.org/abs/1303.2171v1

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth

Parallel computing using accelerators has gained widespread research attention in the past few years. In particular, using GPUs for general purpose computing has brought forth several success stories with respect to time taken, cost, power, and other...

github.com/ARM-software/ComputeLibrary

ARM-software/ComputeLibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies. (⭐ 3121)

arxiv.org/abs/2501.14925v2

Profiling Apple Silicon Performance for ML Training

Apple Silicon has attracted much attention for its performance and role in machine learning (ML) training. Unlike NVIDIA GPUs, which have traditionally dominated ML training, Apple Silicon has a significant difference in memory architecture. It uses...

arxiv.org/abs/2308.03120v1

Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing

This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot...

github.com/ROCm/ROCmValidationSuite

ROCm/ROCmValidationSuite

A system validation and diagnostics tool for monitoring, stress testing, detecting, and troubleshooting issues impacting AMD GPUs in high-performance computing environments (⭐ 96)

arxiv.org/abs/2403.17017v1

Seer: Predictive Runtime Kernel Selection for Irregular Problems

Modern GPUs are designed for regular problems and suffer from load imbalance when processing irregular data. Prior to our work, a domain expert selects the best kernel to map fine-grained irregular parallelism to a GPU. We instead propose Seer, an ab...

github.com/ProjectPhysX/FluidX3D

ProjectPhysX/FluidX3D

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use. (⭐ 4915)

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AMD Software: Adrenalin Edition 25.30.17.02 for Expanded Vulkan ...

Jan 23, 2026 · VK driver jumps from 1.4.329 in Adrenalin 26.1.1 to 1.4.337. Might be useful overall for DXVK, Zink and maybe VDK3D if someone figures how to make it work on AMD GPUs on Windows …