high performance computing on graphics processing units: hgpu.org

Programming

GPU Coprocessing for Wireless Network Simulation

Scott Bai, David M. Nicol

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Tags: Computer science, CUDA, KD-tree, Networks, nVidia, nVidia GeForce 9800 GX2, Raytracing, Wireless baseband architecture

February 23, 2011 by hgpu

Architectural Comparisons for a Quantum Monte Carlo Application

Akila Gothandaraman, Rick Weber, Gregory D. Peterson, Robert J. Hinde, Robert J. Harrison

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Tags: AMD FireStream 9170, ATI, Brook, Computer science, CUDA, FPGA, Monte Carlo simulation, nVidia, QMC, Tesla C1060

February 23, 2011 by hgpu

Flexible Hardware Mapping for Finite Element Simulations on Hybrid CPU / GPU Clusters

Aaron Becker, Isaac Dooley, Laxmikant V. Kale

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Tags: Computer science, CUDA, Finite element method, GPU cluster, nVidia, Tesla S1070

February 23, 2011 by hgpu

Probing biomolecular machines with graphics processors

James C. Phillips, John E. Stone

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Tags: Biology, Biomolecules, CUDA, GPU cluster, Molecular simulation, nVidia, OpenCL, Review, Tesla S1070

February 23, 2011 by hgpu

GPU Acceleration of the Generalized Interpolation Material Point Method

Wei-Fan Chiang, Michael DeLisi, Todd Hummel, Tyler Prete, Kevin Tew, Mary Hall, Phil Wallstedt, James Guilkey

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Tags: CUDA, nVidia, nVidia GeForce 9600 GT, Particle-in-cell methods, Physics

February 22, 2011 by hgpu

Accelerating Energy Minimization using Graphics Processors

Bharat Sukhwani, Martin C. Herbordt

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Tags: Chemistry, CUDA, Molecular modeling, nVidia, Tesla C1060

February 22, 2011 by hgpu

Accelerating the ANSYS Direct Sparse Solver with GPUs

Geraud P. Krawezik, Gene Poole

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Tags: Computer science, CUDA, Linear Algebra, Mixed precision, nVidia, Sparse direct solvers, Tesla C1060

February 22, 2011 by hgpu

Production Floating Point Applications on FPGAs

Martin C. Herbordt, Bharat Sukhwani, Matt Chiu, Md. Ashfaq Khan

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Tags: Chemistry, Computer science, CUDA, FPGA, Molecular dynamics, Molecular modeling, nVidia, Tesla C1060

February 22, 2011 by hgpu

Performance analysis and optimization of three-dimensional FDTD on GPU using roofline model

Ki-Hwan Kim, KyoungHo Kim, Q-Han Park

Tags: Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 480

February 22, 2011 by hgpu

Data Structures and Transformations for Physically Based Simulation on a GPU

Perhaad Mistry, Dana Schaa, Byunghyun Jang, David Kaeli, Albert Dvornik, Dwight Meglan

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 285, Physics-based simulation

February 22, 2011 by hgpu

GPU Acceleration of Runge-Kutta Integrators

Lawrence Murray

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Tags: Algorithms, CUDA, Mathematics, nVidia, ODEs, Ordinary differential equations

February 22, 2011 by hgpu

Software-Based ECC for GPUs

Naoya Maruyama, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, CUDA, Error recovery, FFT, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, Tesla S1070

February 21, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Coprocessing for Wireless Network Simulation

Architectural Comparisons for a Quantum Monte Carlo Application

Flexible Hardware Mapping for Finite Element Simulations on Hybrid CPU / GPU Clusters

Probing biomolecular machines with graphics processors

GPU Acceleration of the Generalized Interpolation Material Point Method

Accelerating Energy Minimization using Graphics Processors

Accelerating the ANSYS Direct Sparse Solver with GPUs

Production Floating Point Applications on FPGAs

Performance analysis and optimization of three-dimensional FDTD on GPU using roofline model

Data Structures and Transformations for Physically Based Simulation on a GPU

GPU Acceleration of Runge-Kutta Integrators

Software-Based ECC for GPUs

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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