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Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Eric Hayden, Mark Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekaran Seetharaman

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Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, nVidia, Signal processing, Tesla C2050

October 6, 2012 by hgpu

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Michal Marks, Jaroslaw Jantura, Ewa Niewiadomska-Szynkiewicz, Przemyslaw Strzelczyk, Krzysztof Gozdz

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Tags: Algorithms, AMD FirePro V7900, AMD FireStream 9350, ATI, ATI FirePro V5800, ATI FirePro V7800, Computer science, Distributed computing, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Security, Tesla M2050

October 4, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, Neural networks, nVidia, Tesla M2070

September 23, 2012 by hgpu

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Ki-Hwan Kim, Q-Han Park

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Tags: Computer science, FDTD, Finite-difference time-domain, GPU cluster, nVidia, OpenCL, Tesla C2075

September 22, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Design and Modeling of a Non-blocking Checkpointing System

Kento Sato, Kathryn Mohror, Adam Moody, Naoya Maruyama, Satoshi Matsuoka

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Tags: Computer science, Fault tolerance, GPU cluster, nVidia, Tesla M2050

September 11, 2012 by hgpu

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Wei Jiang

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Tags: Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, MapReduce, MPI, nVidia, Tesla C2050, Thesis

September 1, 2012 by hgpu

The multi-GPU System with ExpEther

Shimpei Nomura, Tetsuya Nakahama, Junichi Higuchi, Jun Suzuki, Takashi Yoshikawa, Hideharu Amano

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla C2050

August 30, 2012 by hgpu

Password Recovery Using MPI and CUDA

David Apostal, Kyle Foerster, Amrita Chatterjee, Travis Desell

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, Security, Tesla C1060

August 26, 2012 by hgpu

Extending MPI to Accelerators

Jeff A. Stuart, Pavan Balaji, John D. Owens

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL

August 26, 2012 by hgpu

High performance transcription factor-DNA docking with GPU computing

Jiadong Wu, Bo Hong, Takako Takeda, Jun-tao Guo

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Tags: Algorithms, Benchmarking, Bioinformatics, Biology, CUDA, Genetics, GPU cluster, nVidia, Tesla M2070

August 20, 2012 by hgpu

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

See all packages

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high performance computing on graphics processing units: hgpu.org

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Parallel Benefit on Different Programming Paradigms

Design and Modeling of a Non-blocking Checkpointing System

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

The multi-GPU System with ExpEther

Password Recovery Using MPI and CUDA

Extending MPI to Accelerators

High performance transcription factor-DNA docking with GPU computing

Recent source codes

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

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