high performance computing on graphics processing units: hgpu.org

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GPU parallel computing: Programming language, debugging tools and data structures

Kun Zhou

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Tags: Algorithms, Computer science, CUDA, nVidia, Programming Languages

April 14, 2012 by hgpu

A GPU Memory System Comparison for an Elliptic Test Problem

Yu Wang, Marc Olano, Matthias K. Gobbert, Wesley Griffin

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, Memory model, nVidia, Poisson equation, Tesla C2070

April 13, 2012 by hgpu

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Unmesh Bordoloi, Ahmed Rezine

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050

April 13, 2012 by hgpu

Writing a modular GPGPU program in Java

Masayuki Ioki, Shumpei Hozumi, Shigeru Chiba

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Tags: Computer science, CUDA, Fortran, Java, nVidia, Tesla M2050

April 13, 2012 by hgpu

Parallel programming with CUDA

Jon Nielsen, Truls Mosegaard

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Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Overview, Thesis

April 13, 2012 by hgpu

Design of high-performance parallelized gene predictors in MATLAB

Sylvain Robert Rivard, Jean-Gabriel Mailloux, Rachid Beguenane, Hung Tien Bui,

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Tags: Algorithms, Bioinformatics, Biology, CUDA, FFT, Genetics, nVidia, nVidia GeForce GTX 560

April 13, 2012 by hgpu

Spatial Indexing of Large-Scale Geo-Referenced Point Data on GPGPUs Using Parallel Primitives

Jianting Zhang, Le Gruenwald

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 6000

April 12, 2012 by hgpu

Verifying GPU Kernels by Test Amplification

Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala

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Tags: Computer science, CUDA, nVidia, Programming Languages, Software Engineering

April 12, 2012 by hgpu

Programming issues for video analysis on Graphics Processing Units

Juan Gomez Luna

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Signal processing, Thesis

April 12, 2012 by hgpu

Bonsai: A GPU Tree-Code

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, MPI, N-body simulation, nVidia, nVidia GeForce GTX 480, Package

April 12, 2012 by hgpu

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

Nathan Bell, Steven Dalton, Luke N. Olson

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Tags: Algorithms, CUDA, Mathematics, nVidia, Package, Sparse matrix, Tesla C2050

April 11, 2012 by hgpu

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Shinpei Kato, Karthik Lakshmanan, Aman Kumar, Mihir Kelkar, Yutaka Ishikawa, Ragunathan (Raj) Rajkumar

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques

April 11, 2012 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

GPU parallel computing: Programming language, debugging tools and data structures

A GPU Memory System Comparison for an Elliptic Test Problem

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Writing a modular GPGPU program in Java

Parallel programming with CUDA

Design of high-performance parallelized gene predictors in MATLAB

Spatial Indexing of Large-Scale Geo-Referenced Point Data on GPGPUs Using Parallel Primitives

Verifying GPU Kernels by Test Amplification

Programming issues for video analysis on Graphics Processing Units

Bonsai: A GPU Tree-Code

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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