high performance computing on graphics processing units: hgpu.org

hgpu.org » Review

Exploring graphics processor performance for general purpose applications

Pedro Trancoso, Maria Charalambous

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Tags: Brook, Computer science, nVidia, nVidia GeForce FX 5700, Performance, Review

July 23, 2011 by hgpu

Vendors Draw up a New Graphics-Hardware Approach

S.J. Vaughn-Nichols

Tags: Computer science, Hardware Architecture, Review

July 22, 2011 by hgpu

A Survey of Neural Computation on Graphics Processing Hardware

Ryan J. Meuth, Donald C. Wunsch II

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Tags: Computer science, Neural Computing, Review, Xbox 360

July 14, 2011 by hgpu

The computer graphics wars heat up

Michael Macedonia

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Tags: ATI, Computer science, nVidia, Review

July 11, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

Scientific and Engineering Computing Using ATI Stream Technology

Amr Bayoumi, Michael Chu, Yasser Hanafy, Patricia Harrell, Gamal Refai-Ahmed

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Tags: AMD FireStream 9270, ATI, ATI Stream, Brook, Computer science, OpenMP, Programming techniques, Review

June 26, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Recent trends in software and hardware for GPGPU computing: A comprehensive survey

B. Neelima, P.S. Raghavendra

Tags: Computer science, Programming techniques, Review

May 31, 2011 by hgpu

A Micro-benchmark Suite for AMD GPUs

Ryan Taylor, Xiaoming Li

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Tags: ATI, ATI IL, ATI Stream, Benchmarking, Computer science, Presentation, Review, RV770, RV870

May 30, 2011 by hgpu

A Summary of Recent GPU Developments and Key Enabling Technologies for Digital Media Applications

I.M. Williams

Tags: Computer science, Performance, Review

May 29, 2011 by hgpu

The GPU enters computing’s mainstream

Michael Macedonia

Tags: ATI, Computer science, nVidia, Review

May 16, 2011 by hgpu

K3 Moore’s Law in the Era of GPU Computing

Chien-Ping Lu

Tags: Computer science, Hardware Architecture, nVidia, Review

May 15, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Exploring graphics processor performance for general purpose applications

Vendors Draw up a New Graphics-Hardware Approach

A Survey of Neural Computation on Graphics Processing Hardware

The computer graphics wars heat up

Many-core parallel computing – Can compilers and tools do the heavy lifting?

Scientific and Engineering Computing Using ATI Stream Technology

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Recent trends in software and hardware for GPGPU computing: A comprehensive survey

A Micro-benchmark Suite for AMD GPUs

A Summary of Recent GPU Developments and Key Enabling Technologies for Digital Media Applications

The GPU enters computing’s mainstream

K3 Moore’s Law in the Era of GPU Computing

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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