high performance computing on graphics processing units: hgpu.org

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Parallelizing Peptide-Spectrum scoring using modern graphics processing units

Jian Zhang, I. McQuillan, FangXiang Wu

Tags: Biology, CUDA, Macromolecule, nVidia, Spectrometry

June 14, 2011 by hgpu

A Highly Scalable Solution of an NP-Complete Problem Using CUDA

Saiyedul Islam, Raghav Tandon, Shashank Singh, Alok Misra

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, SAT

June 14, 2011 by hgpu

In Situ Power Analysis of General Purpose Graphical Processing Units

M.Z. Shaikh, M. Gregoire, W. Li, M. Wroblewski, S. Simon

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Performance

June 14, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems

Rio Yokota, Lorena Barba

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, GPU cluster, Heterogeneous systems, Numerical Analysis, nVidia, nVidia GeForce GTX 295, OpenMP

June 14, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Design Exploration of Quadrature Methods in Option Pricing

Anson H. T. Tse, David Thomas, Wayne Luk

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Tags: CUDA, Finance, FPGA, nVidia, nVidia GeForce 8600 GT, Tesla C1060

June 14, 2011 by hgpu

Accelerating Parameter Sweep Applications Using CUDA

Masaya Motokubota, Fumihiko Ino, Kenichi Hagihara

Tags: Computer science, CUDA, Memory level parallelism, nVidia, Performance

June 14, 2011 by hgpu

CUDA Implementation of ${rm TE}^{z}$-FDTD Solution of Maxwell’s Equations in Dispersive Media

Mohammad Reza Zunoubi, Jason Payne, William P. Roach

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 9800 GT

June 14, 2011 by hgpu

Cellular Level Agent Based Modelling on the Graphics Processing Unit

Paul Richmond, Simon Coakley, Daniela Romano

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Tags: Biology, Cellular modelling, CUDA, nVidia, Real-time graphics, Visualization

June 14, 2011 by hgpu

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs

Doruk Sart, Abdullah Mueen, Walid Najjar, Eamonn Keogh, Vit Niennattrakul

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Tags: Algorithms, Computer science, CUDA, Data mining, FPGA, nVidia, Tesla C1060

June 14, 2011 by hgpu

Parallel implementation of artificial neural network training

S. Scanzio, S. Cumani, R. Gemello, F. Mana, P. Laface

Tags: Acoustics, CUDA, Neural networks, nVidia, Signal processing, Speech recognition

June 14, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallelizing Peptide-Spectrum scoring using modern graphics processing units

A Highly Scalable Solution of an NP-Complete Problem Using CUDA

In Situ Power Analysis of General Purpose Graphical Processing Units

A comparative study of GPU programming models and architectures using neural networks

A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Design Exploration of Quadrature Methods in Option Pricing

Accelerating Parameter Sweep Applications Using CUDA

CUDA Implementation of ${rm TE}^{z}$-FDTD Solution of Maxwell’s Equations in Dispersive Media

Cellular Level Agent Based Modelling on the Graphics Processing Unit

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs

Parallel implementation of artificial neural network training

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)