high performance computing on graphics processing units: hgpu.org

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Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Luke Mather, Elisabeth Oswald, Carolyn Whitnall

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Tags: AMD Radeon R9 290, ATI, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Security, Tesla K20

June 2, 2014 by hgpu

Data Layout Optimization for Multi-Valued Containers in OpenCL

Robert Strzodka

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Tags: Computer science, Memory model, nVidia, nVidia GeForce GTX 295, OpenCL

May 30, 2014 by hgpu

Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU

Michael G. Gowanlock, Henri Casanova

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Tags: Algorithms, Computer science, Databases, nVidia, OpenCL, Tesla C2075

May 30, 2014 by hgpu

Automatic Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

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Tags: Computer science, CUDA, nVidia, OpenCL, Programming techniques

May 26, 2014 by hgpu

GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications

John Paul Walters, Andrew J. Younge, Dong-In Kang, Ke-Thia Yao, Mikyung Kang, Stephen P. Crago, Geoffrey C. Fox

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Tags: Cloud, Computer science, CUDA, nVidia, OpenCL, Tesla C2075, Tesla K20, Virtualization

May 26, 2014 by hgpu

Engineering a static verification tool for GPU kernels

Ethel Bardsley, Adam Betts, Nathan Chong, Peter Collingbourne, Pantazis Deligiannis, Alastair F. Donaldson, Jeroen Ketema, Daniel Liew, Shaz Qadee

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Source codes

Tags: Computer science, CUDA, nVidia, OpenCL, Package, Python

May 25, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

Exploiting Parallelism in GPUs

Blake Alan Hechtman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Thesis

May 20, 2014 by hgpu

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Li Tian, Fugen Zhou, Cai Meng

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Tags: Computer science, DSP, Embedded high-performance computing, nVidia, OpenCL, Task scheduling

May 18, 2014 by hgpu

StarPU-MPI: Task Programming over Clusters of Machines Enhanced with Accelerators

Cedric Augonnet, Olivier Aumage, Nathalie Furmento, Samuel Thibault, Raymond Namyst

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenCL, Tesla M2070

May 18, 2014 by hgpu

Hierarchical Transparent Programming for Heterogeneous Computing

Yuri Torres de la Sierra

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Thesis

May 17, 2014 by hgpu

Enabling CP2K Application for Exascale Computing with Accelerators using OpenACC and OpenCL

Mariusz Uchronski, Agnieszka Kwiecien, Marcin Gebarowski

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Tags: ATI, ATI Radeon HD 6950, Chemistry, CUDA, Matrix multiplication, Molecular simulation, MPI, nVidia, OpenACC, OpenCL, Sparse matrix, Tesla M2075

May 16, 2014 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

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high performance computing on graphics processing units: hgpu.org

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Data Layout Optimization for Multi-Valued Containers in OpenCL

Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU

Automatic Termination Analysis for GPU Kernels

Engineering a static verification tool for GPU kernels

Vector Quantization: A Many-Core Approach

Exploiting Parallelism in GPUs

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

StarPU-MPI: Task Programming over Clusters of Machines Enhanced with Accelerators

Hierarchical Transparent Programming for Heterogeneous Computing

Enabling CP2K Application for Exascale Computing with Accelerators using OpenACC and OpenCL

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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