high performance computing on graphics processing units: hgpu.org

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hgpu.org » paper

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 2011 by hgpu

A GPGPU-Based Collision Detection Algorithm

Zou Yisheng, Zhou Xiaoli, Ding Guofu, He Yong, Jia Meiwei

Tags: Collision detection, Computer science

April 5, 2011 by hgpu

GPGPU supported cooperative acceleration in molecular dynamics

Gang Chen, Guobo Li, Songwen Pei, Baifeng Wu

Tags: ATI, Brook, Chemistry, Molecular dynamics

April 5, 2011 by hgpu

Parallelizing Simulated Annealing-Based Placement Using GPGPU

Alexander Choong, Rami Beidas, Jianwen Zhu

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Tags: Numerical simulation, nVidia, nVidia GeForce GTX 280, Physics

April 5, 2011 by hgpu

GPGPU-FDTD method for 2-dimensional electromagnetic field simulation and its estimation

M. Unno, Y. Inoue, H. Asar

Tags: Computational Engineering, FDTD, Finite-difference time-domain

April 5, 2011 by hgpu

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Wei Yi, Yuhua Tang, Guibin Wang, Xudong Fang

Tags: Computer science, Memory, nVidia, nVidia GeForce GTX 295, Optimization, Performance

April 4, 2011 by hgpu

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications

Jaekyu Lee, Nagesh B. Lakshminarayana, Hyesoon Kim, Richard Vuduc

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce 8800 GT, Performance

April 4, 2011 by hgpu

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

Ruggero Scorcioni

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Tags: Biology, CUDA, Neuroscience, nVidia

April 4, 2011 by hgpu

GPGPU-based Latency Insertion Method: Application to PDN simulations

Y. Inoue, T. Sekine, H. Asai

Tags: Computational Engineering, Computer science

April 4, 2011 by hgpu

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

S. Rogmans, M. Dumont, G. Lafruit, P. Bekaert

Tags: Computer science, Rendering

April 4, 2011 by hgpu

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Qian Zhang, Hong An, Gu Liu, Wenting Han, Ping Yao, Mu Xu, Xiaoqiang Li

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

April 4, 2011 by hgpu

Parallel connected-component labeling algorithm for GPGPU applications

In-Yong Jung, Chang-Sung Jeong

Tags: Algorithms, Computer science, CUDA, nVidia

April 4, 2011 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

Applications

Neuromorphic models on a GPGPU cluster

A GPGPU-Based Collision Detection Algorithm

GPGPU supported cooperative acceleration in molecular dynamics

Parallelizing Simulated Annealing-Based Placement Using GPGPU

GPGPU-FDTD method for 2-dimensional electromagnetic field simulation and its estimation

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

GPGPU-based Latency Insertion Method: Application to PDN simulations

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Parallel connected-component labeling algorithm for GPGPU applications

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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