high performance computing on graphics processing units: hgpu.org

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High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Ali Emami, Abbas Bigdeli, Adam Postula

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Tags: Computer science, Computer vision, CUDA, FFT, nVidia, nVidia GeForce GTX 285, OpenCL

August 17, 2011 by hgpu

Regular Expression Matching and Operational Semantics

Asiri Rathnayake, Hayo Thielecke

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Source codes

Tags: Computer science, CUDA, Logic in Computer Science, nVidia, Package

August 17, 2011 by hgpu

Topical perspective on massive threading and parallelism

Robert M. Farber

Tags: Computer science, CUDA, nVidia, OpenCL, Review

August 16, 2011 by hgpu

FPGA acceleration of rigid-molecule docking codes

Bharat Sukhwani, Martin C. Herbordt

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Tags: Biology, Biomolecules, CUDA, FPGA, Molecular modeling, nVidia, Performance, Tesla C1060

August 15, 2011 by hgpu

Robust non-local denoising of colored depth data

Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolfgang Strasser

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Signal denoising

August 15, 2011 by hgpu

Fast parallel simulation of fiber optical communication systems accelerated by a graphics processing unit

S. Pachnicke, A. Chachaj, M. Helf, P.M. Krummrich

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 275, Optics

August 15, 2011 by hgpu

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

C. Alexandrou, K. Hadjiyiannakou, G. Koutsou, A. 'O Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Nuclear Theory, nVidia, Physics

August 12, 2011 by hgpu

High-performance biocomputing for simulating the spread of contagion over large contact networks

Keith R. Bisset, Ashwin M. Aji, Madhav V. Marathe, Wu-chun Feng

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Tags: Biology, CUDA, GPU cluster, nVidia, Tesla S2050

August 12, 2011 by hgpu

A novel and scalable Multigrid algorithm for many-core architectures

Julian Becerra-Sagredo, Carlos Malaga, Francisco Mandujano

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Tags: Computational Physics, Computer science, CUDA, Numerical Analysis, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 310 M, nVidia GeForce GT 330 M, nVidia GeForce GTX 460, nVidia GeForce GTX 480

August 11, 2011 by hgpu

Rain Scene Animation through Particle Systems and Surface Flow Simulation by SPH

Bruno Barcellos Coutinho, Antonio A. F. Oliveira, Yalmar Ponce Atencio, Gilson Antonio Giraldi

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce 9800 GTX, OpenGL, Particle simulation, Rendering

August 11, 2011 by hgpu

GPU acceleration of matrix-based methods in computational electromagnetics (thesis)

Evan Lezar

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Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 465, Tesla M1060, Thesis

August 10, 2011 by hgpu

Pricing the American Option Using Reconfigurable Hardware

Chris Wynnyk, Malik Magdon-Ismail

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Tags: Algorithms, CUDA, Finance, Finite difference, FPGA, nVidia, Tesla S1070

August 10, 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

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Regular Expression Matching and Operational Semantics

Topical perspective on massive threading and parallelism

FPGA acceleration of rigid-molecule docking codes

Robust non-local denoising of colored depth data

Fast parallel simulation of fiber optical communication systems accelerated by a graphics processing unit

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

High-performance biocomputing for simulating the spread of contagion over large contact networks

A novel and scalable Multigrid algorithm for many-core architectures

Rain Scene Animation through Particle Systems and Surface Flow Simulation by SPH

GPU acceleration of matrix-based methods in computational electromagnetics (thesis)

Pricing the American Option Using Reconfigurable Hardware

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)