high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Towards microsecond biological molecular dynamics simulations on hybrid processors

Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam, Paul S. Crozier

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Scott S. Hampton, Sadaf R. Alam, Paul S. Crozier, Pratul K. Agarwal

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Accelerating 3D Fourier migration with graphics processing units

Jin H. Zhang, Shu Q. Wang, Zhen X. Yao

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Tags: CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, nVidia GeForce GTX 280, Seismology

January 19, 2011 by hgpu

Introduction to the Report “Interlanguages and Synchronic Models of Computation.”

Alexander Victor Berka

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Tags: Computer science, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Space and the Synchronic A-Ram

Alex V Berka

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Tags: Computer science, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Interlanguages and synchronic models of computation

Alexander Victor Berka

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Tags: Computer science, FPGA, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Relational query coprocessing on graphics processors

Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Source codes

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX, Package, Performance

January 19, 2011 by hgpu

Secure 3D graphics for virtual machines

Christopher Smowton

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Tags: Computer science, DirectX, OpenGL, Virtualization

January 18, 2011 by hgpu

Message passing for GPGPU clusters: CudaMPI

Orion S. Lawlor

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Source codes

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, OpenMPI, Package

January 18, 2011 by hgpu

Blasting through lattice calculations using CUDA

Kipton Barros, Ronald Babich, Richard Brower, Michael A. Clark, Claudio Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD, Tesla C870

January 18, 2011 by hgpu

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Jens Breitbart, Gaurav Khanna

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 280, Package, Physics

January 18, 2011 by hgpu

A novel approach for implementing Steganography with computing power obtained by combining Cuda and Matlab

Samir B. Patel, Shrikant N. Pradhan, Saumitra U. Ambegaokar

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Tags: Computer science, CUDA, nVidia, Security

January 18, 2011 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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

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high performance computing on graphics processing units: hgpu.org

Applications

Towards microsecond biological molecular dynamics simulations on hybrid processors

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Accelerating 3D Fourier migration with graphics processing units

Introduction to the Report “Interlanguages and Synchronic Models of Computation.”

Space and the Synchronic A-Ram

Interlanguages and synchronic models of computation

Relational query coprocessing on graphics processors

Secure 3D graphics for virtual machines

Message passing for GPGPU clusters: CudaMPI

Blasting through lattice calculations using CUDA

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

A novel approach for implementing Steganography with computing power obtained by combining Cuda and Matlab

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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

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