high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Solving dense linear systems on platforms with multiple hardware accelerators

Enrique S. Quintana-Orti, Francisco D. Igual, Enrique S. Quintana-Orti, Robert A. van de Geijn

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Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia, Package, Task scheduling, Tesla S870

January 17, 2011 by hgpu

Barra: A Parallel Functional Simulator for GPGPU

Sylvain Collange, Marc Daumas, David Defour, David

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package

January 15, 2011 by hgpu

Canny edge detection on NVIDIA CUDA

Yuancheng Luo, Ramani Duraiswami

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Package

January 10, 2011 by hgpu

JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA

Yonghong Yan, Max Grossman, Vivek Sarkar

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Tags: Computer science, CUDA, Java, nVidia, Package, Tesla C1060

January 7, 2011 by hgpu

A hardware-aware debugger for the OpenGL shading language

Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Programming techniques

January 3, 2011 by hgpu

High performance realtime vision for mobile robots on the GPU

Christian Folkers, Wolfgang Ertel

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 6800, OpenGL, Package

December 29, 2010 by hgpu

A fast high quality pseudo random number generator for nVidia CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla T10

December 25, 2010 by hgpu

GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package, Presentation, Programming techniques

December 17, 2010 by hgpu

Genetic programming on graphics processing units

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package

December 15, 2010 by hgpu

gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

C. Lauterbach, Q. Mo, D. Manocha

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package

December 14, 2010 by hgpu

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Jean-Charles Quinton

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Tags: ATI, ATI Mobility Radeon 9700, Computer science, Computer vision, Image processing, OpenGL, Package

December 13, 2010 by hgpu

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 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

Applications

Solving dense linear systems on platforms with multiple hardware accelerators

Barra: A Parallel Functional Simulator for GPGPU

Canny edge detection on NVIDIA CUDA

JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA

A hardware-aware debugger for the OpenGL shading language

High performance realtime vision for mobile robots on the GPU

A fast high quality pseudo random number generator for nVidia CUDA

GPU Parallelization of Algebraic Dynamic Programming

Genetic programming on graphics processing units

gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Accelerating Compute-Intensive Applications with GPUs and FPGAs

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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