high performance computing on graphics processing units: hgpu.org

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Implementation and Experimental Evaluation of a CUDA Core under Single Event Effects

W. Nedel, F. Kastensmidt, J.R. Azambuja

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Tags: CUDA, Fault simulation, Fault tolerance, FPGA

June 7, 2014 by hgpu

CPU, GPU and FPGA Implementations of MALD: Ceramic Tile Surface Defects Detection Algorithm

Tomislav Matic, Ivan Aleksi, Zeljko Hocenski

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce 9800 GT

May 30, 2014 by hgpu

SMCGen: Generating Reconfigurable Design for Sequential Monte Carlo Applications

Thomas C.P. Chau, Maciej Kurek, James S. Targett, Jake Humphrey, George Skouroupathis, Alison Eele, Jan Maciejowski, Benjamin Cope, Kathryn Cobden, Philip Leong, Peter Y.K. Cheung, Wayne Luk

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Source codes

Tags: Algorithms, Computer science, CUDA, FPGA, Machine learning, nVidia, Package, Tesla C2070

May 29, 2014 by hgpu

GPU vs FPGA: A Comparative Analysis for Non-standard Precision

Umar Ibrahim Minhas, Samuel Bayliss, George A. Constantinides

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Tags: Algorithms, Computer science, CUDA, Extended precision, FPGA, nVidia, Tesla C1060

May 25, 2014 by hgpu

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric S. Chung, Greg Stitt

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Sparse matrix

May 21, 2014 by hgpu

3D FFT on a Single FPGA

Benjamin Humphries, Hansen Zhang, Jiayi Sheng, Raphael Landaverde, Martin C. Herbordt

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Tags: Computer science, CUDA, FFT, FPGA, nVidia, Tesla C1060, Tesla K20

May 2, 2014 by hgpu

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Sparsh Mittal, Jeffrey S. Vetter

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Tags: comparison, Computer science, cpu, CUDA, Energy-efficient computing, FPGA, Hardware Architecture, nVidia

April 18, 2014 by sparsh0mittal

Energy-Efficient FPGA Implementation for Binomial Option Pricing Using OpenCL

Valentin Mena Morales, Pierre-Henri Horrein, Amer Baghdadi, Erik Hochapfel, Sandrine Vaton

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Tags: Energy-efficient computing, Finance, FPGA, nVidia, nVidia GeForce GTX 660 Ti, OpenCL, Option pricing

April 17, 2014 by hgpu

GPU-Accelerated Face Detection Algorithm

T.A. Mahmoud Fayez

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Tags: Algorithms, Biometrics, Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 560, OpenCL

April 7, 2014 by hgpu

A Study on Efficient Application Mapping on Parallel Computing Accelerators

Keisuke Dohi

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Tags: Algorithms, Computer science, CUDA, FDTD, Finite-difference time-domain, FPGA, MPI, nVidia, nVidia GeForce GTX 295, Smith-Waterman algorithm, Thesis

April 7, 2014 by hgpu

Pulse-coupled neural network performance for real-time identification of vegetation during forced landing

D.J. Warne, R. Hayward, N. Kelson, J. Banks, L. Mejias

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Tags: FPGA, Image processing, Neral networks, Neural Computing, nVidia, nVidia Quadro 4000, OpenCL

March 28, 2014 by hgpu

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Julio Camarero Mateo

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, Tesla C2075, Thesis

March 17, 2014 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

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high performance computing on graphics processing units: hgpu.org

Implementation and Experimental Evaluation of a CUDA Core under Single Event Effects

CPU, GPU and FPGA Implementations of MALD: Ceramic Tile Surface Defects Detection Algorithm

SMCGen: Generating Reconfigurable Design for Sequential Monte Carlo Applications

GPU vs FPGA: A Comparative Analysis for Non-standard Precision

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

3D FFT on a Single FPGA

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Energy-Efficient FPGA Implementation for Binomial Option Pricing Using OpenCL

GPU-Accelerated Face Detection Algorithm

A Study on Efficient Application Mapping on Parallel Computing Accelerators

Pulse-coupled neural network performance for real-time identification of vegetation during forced landing

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

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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