high performance computing on graphics processing units: hgpu.org

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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

Acceleration of cardiac tissue simulation with graphic processing units

Daisuke Sato, Yuanfang Xie, James Weiss, Zhilin Qu, Alan Garfinkel, Allen Sanderson

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, ODEs, Ordinary differential equations, Partial differential equations, PDEs

December 15, 2010 by hgpu

Optimizing Monte Carlo radiosity on graphics hardware

J. Sanjurjo, M. Amor, M. Boo, R. Doallo, J. Casares

Tags: Computer science, CUDA, Monte Carlo simulation, nVidia, Optimization, Rendering

December 15, 2010 by hgpu

Scalable and highly parallel implementation of Smith-Waterman on graphics processing unit using CUDA

Ali Akoglu, Gregory Striemer

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C870

December 15, 2010 by hgpu

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Seyong Lee, Seung-Jai Min, and Rudolf Eigenman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia Quadro FX 5600, OpenMP, Programming techniques

December 15, 2010 by hgpu

Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards

David Michea, Dimitri Komatitsch

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Tags: CUDA, Earth and Space Sciences, FDTD, Finite difference, Geoscience, GPU cluster, MPI, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

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

Fast Ray Sorting and Breadth-First Packet Traversal for GPU Ray Tracing

Kirill Garanzha, Charles Loop

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Raytracing

December 14, 2010 by hgpu

Fast GPU-based Adaptive Tessellation with CUDA

Michael Schwarz, Marc Stamminger

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS

December 14, 2010 by hgpu

A GPU based real-time GPS software receiver

Thomas Hobiger, Tadahiro Gotoh, Jun Amagai, Yasuhiro Koyama, Tetsuro Kondo

Tags: CUDA, FFT, nVidia, Signal processing

December 14, 2010 by hgpu

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta, Mark Murphy, Vasily Volkov, Samuel Williams, Jonathan Carter, Leonid Oliker, David Patterson, John Shalf, Katherine Yelick

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Tags: Cell processor, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 280, Performance

December 14, 2010 by hgpu

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Rainer Buchty, Jan-Philipp Weiss (ed.)

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Tags: Architecture, Cell processor, Computer science, CUDA, nVidia, OpenGL

December 14, 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

Genetic programming on graphics processing units

Acceleration of cardiac tissue simulation with graphic processing units

Optimizing Monte Carlo radiosity on graphics hardware

Scalable and highly parallel implementation of Smith-Waterman on graphics processing unit using CUDA

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards

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

Fast Ray Sorting and Breadth-First Packet Traversal for GPU Ray Tracing

Fast GPU-based Adaptive Tessellation with CUDA

A GPU based real-time GPS software receiver

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

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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