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LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Jakub Kurzak, P. Luszczek, Mathieu Faverge, Jack J. Dongarra

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Tags: Computer science, CUDA, Factorization, nVidia, Task scheduling, Tesla S2050

April 17, 2013 by hgpu

Communication-Minimizing 2D Convolution in GPU Registers

Forrest N. Iandola, David Sheffield, Michael Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Prefetch, Tesla C2050

April 17, 2013 by hgpu

Zero-copy I/O processing for low-latency GPU computing

Shinpei Kato, Jason Aumiller, Scott Brandt

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, nVidia, Plasma physics

April 16, 2013 by hgpu

High-dimensional wave atoms and compression of seismic datasets

Matti Leinonen,Russell J. Hewett, Xiangxiong Zhang, Lexing Ying, Laurent Demanet

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Tags: Compression, CUDA, nVidia, Seismology, Tesla C2075

April 16, 2013 by hgpu

Novel implementations of recursive discrete wavelet transform for real time computation with multicore systems on chip (SOC)

Mohammad Wadood Majid, Golrokh Mirzaei, Mohsin M. Jamali

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Tags: Algorithms, Compression, Computational Complexity, CUDA, Discrete Wavelet Transform, nVidia, nVidia GeForce GTX 260

April 16, 2013 by hgpu

Fast and Robust 3D Correspondence Matching and Its Application to Volume Registration

Yuichiro Tajima, Kinya Fudano, Koichi Ito, Takafumi Aoki

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Tags: Computed tomography, CT, CUDA, Medicine, MRI

April 15, 2013 by hgpu

A Many-core Machine Model for Designing Algorithms with Minimum Parallelism Overheads

Sardar Anisul Haque, Marc Moreno Maza, Ning Xie

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Tags: Algorithms, CUDA, Package

April 15, 2013 by hgpu

Shell: A Spatial Decomposition Data Structure for 3D Curve Traversal on Many-core Architectures

Kai Xiao, Danny Z. Chen, X. Sharon Hu, Bo Zhou

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Tags: Algorithms, CUDA, KD-tree, nVidia, nVidia GeForce GTX 570

April 15, 2013 by hgpu

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

S.A. Arul Shalom, Manoranjan Dash

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Tags: Algorithms, Clustering, CUDA, nVidia, nVidia GeForce 8800 GTX

April 15, 2013 by hgpu

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

Hui Li, Geoffrey Fox, Gregor Laszewski, Zhenhua Guo, Judy Qiu

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Tags: Clustering, CUDA, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia

April 13, 2013 by hgpu

High Performance FFT Based Poisson Solver on a CPU-GPU Heterogeneous Platform

Jing Wu, Joseph JaJa

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Tags: CUDA, FFT, Heterogeneous systems, nVidia, Tesla C1060

April 13, 2013 by hgpu

B-Calm: an Open-Source Multi-Gpu-Based 3D-FDTD with Multi-Pole Dispersion for Plasmonics

Pierre Wahl, Dany-Sebastien Ly-Gagnon, Christof Debaes, Jurgen Van Erps, Nathalie Vermeulen, David A. B. Miller, Hugo Thienpont

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Package, Tesla C2075

April 13, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Communication-Minimizing 2D Convolution in GPU Registers

Zero-copy I/O processing for low-latency GPU computing

High-dimensional wave atoms and compression of seismic datasets

Novel implementations of recursive discrete wavelet transform for real time computation with multicore systems on chip (SOC)

Fast and Robust 3D Correspondence Matching and Its Application to Volume Registration

A Many-core Machine Model for Designing Algorithms with Minimum Parallelism Overheads

Shell: A Spatial Decomposition Data Structure for 3D Curve Traversal on Many-core Architectures

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

High Performance FFT Based Poisson Solver on a CPU-GPU Heterogeneous Platform

B-Calm: an Open-Source Multi-Gpu-Based 3D-FDTD with Multi-Pole Dispersion for Plasmonics

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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