high performance computing on graphics processing units: hgpu.org

Arvind K. Sujeeth, Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Victoria Popic, Michael Wu, Aleksander Prokopec, Vojin Jovanovic, Martin Odersky, Kunle Olukotun

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Tags: Computer science, CUDA, MPI, nVidia, Package, Performance, Tesla C2050

May 31, 2013 by hgpu

Geometric Optimisation using Karva for Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Particle swarm optimization

May 31, 2013 by hgpu

Tiling optimizations for stencil computations

Xing Zhou

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Thesis

May 31, 2013 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications

M.G.B. Johnson, D. P. Playne, K.A. Hawick

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Performance, Tesla C2050, Tesla C2070

May 30, 2013 by hgpu

A Comparison of Statistical Techniques for Detecting Side-Channel Information Leakage in Cryptographic Devices

Luke Mather, Elisabeth Oswald, Joe Bandenburg, Marcin Wojcik

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Tags: ATI, ATI Radeon HD 7970, Computational Complexity, Computer science, OpenCL, Security

May 30, 2013 by hgpu

From Experiment to Design – Fault Characterization and Detection in Parallel Computer Systems Using Computational Accelerators

Keun Soo Yim

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, MPI, nVidia, Tesla S1070, Thesis

May 30, 2013 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

CUDA Leaks: Information Leakage in GPU Architectures

GPU-accelerated generation of correctly-rounded elementary functions

GPUburn: A System to Test and Mitigate GPU Hardware Failures

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

On GPU Fourier Transformations

Task scheduling in hybrid CPU-GPU systems

Composition and Reuse with Compiled Domain-Specific Languages

Geometric Optimisation using Karva for Graphical Processing Units

Tiling optimizations for stencil computations

Performance Tradeoff Spectrum of Integer and Floating Point Applications

A Comparison of Statistical Techniques for Detecting Side-Channel Information Leakage in Cryptographic Devices

From Experiment to Design – Fault Characterization and Detection in Parallel Computer Systems Using Computational Accelerators

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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