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Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

W. Michael Brown, Axel Kohlmeyer, Steven J. Plimpton, Arnold N. Tharrington

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Tags: Algorithms, Chemistry, CUDA, Electrostatics, GPU cluster, Heterogeneous systems, Molecular dynamics, nVidia, OpenCL, OpenMPI, Package, Physics, Tesla M2070

February 10, 2012 by hgpu

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tesla C2050

February 8, 2012 by hgpu

How well do STARLAB and NBODY compare? II: Hardware and accuracy

P. Anders, H. Baumgardt, E. Gaburov, S. Portegies Zwart

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Tags: Algorithms, Astrophysics, Cosmology and Extragalactic Astrophysics, Galaxy Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 9800 GX2

January 30, 2012 by hgpu

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Xuyuan Jin

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Tags: Cluster computing, Code generation, Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 570

January 21, 2012 by hgpu

Combining approximate inference methods for efficient learning on large computer clusters

Zhenwen Dai, Jacquelyn A. Shelton, Jorg Bornschein, Abdul Saboor Sheikh, Jorg Lucke

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Tags: Algorithms, Computational Complexity, Computer science, GPU cluster, Machine learning, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Python

January 19, 2012 by hgpu

CPU/GPU computing for long-wave radiation physics on large GPU clusters

Fengshun Lu, Junqiang Song, Xiaoqun Cao, Xiaoqian Zhu

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Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, Heterogeneous systems, MPI, nVidia, OpenMP, Tesla M2050

January 17, 2012 by hgpu

Graphics Processor Clusters for High Speed Backpropagation

Daniel P. Campbell, Daniel A. Cook

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Tags: CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing, Tesla C2050

January 14, 2012 by hgpu

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

Sylvain Huet, Vincent Boulos, Vincent Fristot, Luc Salvo

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Tags: Algorithms, CUDA, DSP, GPU cluster, nVidia, nVidia GeForce GTX 285, Signal processing

January 13, 2012 by hgpu

Petaflop biofluidics simulations on a two million-core system

Massimo Bernaschi, Satoshi Matsuoka, Mauro Bisson, Massimiliano Fatica, Toshio Endo, Simone Melchionna

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Tags: Algorithms, Biology, CUDA, GPU cluster, Medicine, nVidia, Optimization, Tesla M2050

January 11, 2012 by hgpu

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Akio Ikebata, Yoshihiko Muraoka, Feng Xiao

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 295, OpenCL

January 7, 2012 by hgpu

Optimizing a Biomedical Imaging Orientation Score Framework

Chidiebere Okwudire, Martin Palatnik, Xu Zhang, Tanya Kudchadker

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Tags: Computational Complexity, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 570, Optimization

January 6, 2012 by hgpu

Multiple-GPU Scalability of Phase-Field Simulation for Dendritic Solidification

Takayuki Aoki, Satoi Ogawa, Akinori Yamanaka

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Tags: CUDA, GPU cluster, Materials Science, nVidia, Physics, Solidification, Tesla S1070

January 6, 2012 by hgpu

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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high performance computing on graphics processing units: hgpu.org

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

How well do STARLAB and NBODY compare? II: Hardware and accuracy

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Combining approximate inference methods for efficient learning on large computer clusters

CPU/GPU computing for long-wave radiation physics on large GPU clusters

Graphics Processor Clusters for High Speed Backpropagation

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

Petaflop biofluidics simulations on a two million-core system

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Optimizing a Biomedical Imaging Orientation Score Framework

Multiple-GPU Scalability of Phase-Field Simulation for Dendritic Solidification

Recent source codes

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

pplx-garden: Perplexity open source garden for inference technology

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

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