high performance computing on graphics processing units: hgpu.org

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Real-time computation of interactive waves using the GPU

Martijn de Jong, Auke van der Ploeg, Auke Ditzel, Kees Vuik

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 580

October 17, 2013 by hgpu

cudaMap: a GPU accelerated program for gene expression connectivity mapping

Darragh G McArt, Peter Bankhead, Philip D Dunne, Manuel Salto-Tellez, Peter Hamilton, Shu-Dong Zhang

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C2050

October 17, 2013 by hgpu

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Egil Fykse

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Tags: Benchmarking, Computer science, Computer vision, CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 660 Ti, nVidia Quadro 1000 M, OpenCV, Performance, Thesis

October 15, 2013 by hgpu

Scaling Soft Matter Physics to Thousands of GPUs in Parallel

Alan Gray, Alistair Hart, Oliver Henrich, Kevin Stratford

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Molecular dynamics, nVidia, Physics, Tesla K20

October 15, 2013 by hgpu

Domain-Specific Languages for Heterogeneous Parallel Computing

HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Hassan Chafi, Tiark Rompf, Martin Odersky, Kunle Olukotun

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, Tesla C2050

October 15, 2013 by hgpu

GPU-acceleration of parallel unconditionally stable group explicit finite difference method

K. Parand, Saeed Zafarvahedian, Sayyed A. Hossayni

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Tags: Algorithms, Computer science, CUDA, Finite difference, Numerical Analysis, nVidia, nVidia GeForce GT 335 M

October 15, 2013 by hgpu

GPU-Framework for Teamwork Action Recognition

Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, Eman Shaaban

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce 9500 GT, OpenCV

October 15, 2013 by hgpu

An Efficient WSN Simulator for GPU-Based Node Performance

An Na Kang, Hyun-Woo Kim, Leonard Barolli, Young-Sik Jeong

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Tags: Computer science, CUDA, nVidia, Sensing

October 15, 2013 by hgpu

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Jiri Havel

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Pattern recognition

October 15, 2013 by hgpu

Massively Parallel Lossless Compression of Medical Images Using Least-Squares Prediction and Arithmetic Coding

Andreas Weinlich, Johannes Rehm, Peter Amon, Andreas Hutter, Andre Kaup

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Tags: Compression, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 480

October 15, 2013 by hgpu

High-Performance GPGPU Programming with OCaml

Mathias Bourgoin, Emmanuel Chailloux, Jean-Luc Lamotte

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Tags: ATI, ATI Radeon HD 6950, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 680, OpenCL, Tesla C2070

October 15, 2013 by hgpu

Uses of GPU Powered Interval Optimization for Parameter Identification in the Context of SO Fuel Cells

Stefan Kiel, Ekaterina Auer, Andreas Rauh

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 580, ODEs, Ordinary differential equations

October 15, 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

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

Real-time computation of interactive waves using the GPU

cudaMap: a GPU accelerated program for gene expression connectivity mapping

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Scaling Soft Matter Physics to Thousands of GPUs in Parallel

Domain-Specific Languages for Heterogeneous Parallel Computing

GPU-acceleration of parallel unconditionally stable group explicit finite difference method

GPU-Framework for Teamwork Action Recognition

An Efficient WSN Simulator for GPU-Based Node Performance

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Massively Parallel Lossless Compression of Medical Images Using Least-Squares Prediction and Arithmetic Coding

High-Performance GPGPU Programming with OCaml

Uses of GPU Powered Interval Optimization for Parameter Identification in the Context of SO Fuel Cells

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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