high performance computing on graphics processing units: hgpu.org

hgpu.org » Review

Future graphics architectures

William Mark

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Tags: Computer science, Hardware, Review

December 11, 2010 by hgpu

The impact of accelerator processors for high-throughput molecular modeling and simulation

G. Giupponi, M. Harvey, G. Defabritiis

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Tags: Bioinformatics, Cell processor, Chemistry, Medicine, Molecular modeling, nVidia, Review

December 11, 2010 by hgpu

Overview of implementation of DARPA GPU program in SAIC

Dennis Braunreiter, Jeremy Furtek, Hai W. Chen, Dennis Healy

Tags: ATI, nVidia, Optics, Physics, Review

December 8, 2010 by hgpu

A survey of medical image registration on graphics hardware

O. Fluck, C. Vetter, W. Wein, A. Kamen, B. Preim, R. Westermann

Tags: Image processing, Image registration, Medicine, Review

December 8, 2010 by hgpu

GPU architecture overview

John Owens

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Tags: Computer science, Hardware, Presentation, Review

December 5, 2010 by hgpu

GPU physics

Mark Harris

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Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Source codes

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

GPU-friendly warped display for scope-maintained video surveillance

Wang, Guangyu, Wong, Tien-Tsin, Heng, Pheng-Ann

Tags: Image processing, Review

December 4, 2010 by hgpu

Streaming architectures and technology trends

John Owens

Tags: Computer science, Review

December 1, 2010 by hgpu

Taking the graphics processor beyond graphics

D. Geer

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Tags: Computer science, Review

November 30, 2010 by hgpu

Scientific computation for simulations on programmable graphics hardware

Robert Strzodka, Michael Doggett, Andreas Kolb

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Tags: Computer science, Numerical simulation, Review

November 30, 2010 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

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high performance computing on graphics processing units: hgpu.org

Future graphics architectures

The impact of accelerator processors for high-throughput molecular modeling and simulation

Overview of implementation of DARPA GPU program in SAIC

A survey of medical image registration on graphics hardware

GPU architecture overview

GPU physics

GPUQP: query co-processing using graphics processors

GPU Computing: Programming a Massively Parallel Processor

GPU-friendly warped display for scope-maintained video surveillance

Streaming architectures and technology trends

Taking the graphics processor beyond graphics

Scientific computation for simulations on programmable graphics hardware

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

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