high performance computing on graphics processing units: hgpu.org

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Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr Kindratenko

Tags: Bioinformatics, Biology, Cell processor, CUDA, Molecular dynamics, nVidia

August 25, 2011 by hgpu

An efficient GPU-based time domain solver for the acoustic wave equation

Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha

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Tags: Acoustics, Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, Visualization, Wave equation

August 25, 2011 by hgpu

GPU-acceleration for Moving Particle Semi-implicit Method

Chiemi Hori, Hitoshi Gotoh, Hiroyuki Ikari, Abbas Khayyer

Tags: CUDA, Fluid dynamics, nVidia, Poisson equation

August 25, 2011 by hgpu

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Allen Leung, Nicolas Vasilache, Benoit Meister, Muthu Baskaran, David Wohlford, Cedric Bastoul, Richard Lethin

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Tags: Algorithms, Code generation, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 285, Programming Languages

August 24, 2011 by hgpu

CnC-CUDA: declarative programming for GPUs

Max Grossman, Alina Simion Sbirlea, Zoran Budimlic, Vivek Sarkar

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Performance

August 24, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 by hgpu

JCudaMP: OpenMP/Java on CUDA

Georg Dotzler, Ronald Veldema, Michael Klemm

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Tags: Code generation, Computer science, CUDA, Java, nVidia, nVidia GeForce GTX 280, OpenMP, Programming Languages, Programming techniques

August 23, 2011 by hgpu

Implementing the PGI Accelerator model

Michael Wolfe

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, OpenMP, Optimization, Programming Languages, Tesla C1060, Tesla S1070

August 23, 2011 by hgpu

Bounding the effect of partition camping in GPU kernels

Ashwin M. Aji, Mayank Daga, Wu-chun Feng

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 280, Performance

August 23, 2011 by hgpu

Fast parallel surface and solid voxelization on GPUs

Michael Schwarz, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480

August 23, 2011 by hgpu

High performance content-based matching using GPUs

Alessandro Margara, Gianpaolo Cugola

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Source codes

Tags: Algorithms, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 460, Package, Performance, Programming techniques

August 23, 2011 by hgpu

Performance Modelling and Traffic Characterisation of Optical Networks

Harry Mouchos, Athanasios Tsokanos and Demetres D. Kouvatsos

Tags: Computer science, CUDA, Network communications, Networks, nVidia

August 23, 2011 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

An efficient GPU-based time domain solver for the acoustic wave equation

GPU-acceleration for Moving Particle Semi-implicit Method

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

CnC-CUDA: declarative programming for GPUs

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

JCudaMP: OpenMP/Java on CUDA

Implementing the PGI Accelerator model

Bounding the effect of partition camping in GPU kernels

Fast parallel surface and solid voxelization on GPUs

High performance content-based matching using GPUs

Performance Modelling and Traffic Characterisation of Optical Networks

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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