high performance computing on graphics processing units: hgpu.org

hgpu.org » MPI

Astrophysical particle simulations with large custom GPU clusters on three continents

R. Spurzem, P. Berczik, I. Berentzen, K. Nitadori, T. Hamada, G. Marcus, A. Kugel, R. Männer, J. Fiestas, R. Banerjee, R. Klessen

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1060, Tesla C2050

May 10, 2011 by hgpu

Large-scale multi-dimensional document clustering on GPU clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Computer science, CUDA, Data Structures and Algorithms, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280

May 6, 2011 by hgpu

Accelerating DNA analysis applications on GPU clusters

A. Tumeo, O. Villa

Tags: Bioinformatics, Biology, GPU cluster, MPI, nVidia, Tesla C1060

April 28, 2011 by hgpu

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

Abtin Rahimian, Ilya Lashuk, Shravan Veerapaneni, Aparna Chandramowlishwaran, Dhairya Malhotra, Logan Moon, Rahul Sampath, Aashay Shringarpure, Jeffrey Vetter, Richard Vuduc, Denis Zorin, George Biros

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Tags: CUDA, Fluid dynamics, GPU cluster, Medicine, MPI, N-body simulation, nVidia, Tesla S1070

April 28, 2011 by hgpu

MultiGPU computing using MPI or OpenMP

Gabriel Noaje, Michael Krajecki, Christophe Jaillet

Tags: Computer science, GPU cluster, MPI, OpenMP

April 25, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters

Hao Wang, Sreeram Potluri, Miao Luo, Ashish Kumar Singh, Sayantan Sur, Dhabaleswar K. Panda

Tags: Computer science, CUDA, MPI, Network communications, nVidia

April 15, 2011 by hgpu

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Yongchao Liu, Bertil Schmidt, Douglas Maskell

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Source codes

Tags: Bioinformatics, Biology, CUDA, MPI, Next-Generation sequencing, nVidia, OpenMP, Package, Tesla S1070

April 11, 2011 by hgpu

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

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

D. Gohringer, M. Hubner, L. Hugot-Derville, J. Becker

Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenGL

April 1, 2011 by hgpu

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

OpenCL-based design methodology for application-specific processors

Pekka O. Jaaskelainen, Carlos S. de La Lama, Pablo Huerta, Jarmo H. Takala

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Tags: AES, Computer science, FPGA, MPI, OpenCL, Security

March 30, 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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Astrophysical particle simulations with large custom GPU clusters on three continents

Large-scale multi-dimensional document clustering on GPU clusters

Accelerating DNA analysis applications on GPU clusters

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

MultiGPU computing using MPI or OpenMP

Optimized HPL for AMD GPU and multi-core CPU usage

MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Neuromorphic models on a GPGPU cluster

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

OpenCL-based design methodology for application-specific processors

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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