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C to Cellular Automata and Execution on CPU, GPU and FPGA

Jens Drieseberg, Christian Siemers

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Tags: Cellular automata, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, OpenMP

August 2, 2012 by hgpu

Scalable Molecular Dynamics Simulation Using FPGAs and Multicore Processors

Ashfaquzzaman Khan

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Tags: Chemistry, FPGA, Molecular dynamics, nVidia, Review, Thesis

July 17, 2012 by hgpu

Parallel Processing using FPGAs and GPUs

Abhijit Joshi

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, Tesla C2070, Thesis

July 3, 2012 by hgpu

Shortening design time through multiplatform simulations with a portable OpenCL golden-model: the LDPC decoder case

G. Falcao, M. Owaida, D. Novo, M. Purnaprajna, N. Bellas, C.D. Antonopoulos, G. Karakonstantis, A. Burg, P. Ienne

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Tags: ATI, ATI Radeon HD 5870, Computer science, Design space exploration, FPGA, OpenCL, Parity-check codes

June 5, 2012 by hgpu

A Compiler and Runtime for Heterogeneous Computing

Joshua Auerbach, David F. Bacon, Ioana Burcea, Perry Cheng, Stephen J. Fink, Rodric Rabbah, Sunil Shukla

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Tags: Computer science, FPGA, Heterogeneous systems, Java, nVidia, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 4, 2012 by hgpu

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

Carlos Gonzalez, Sergio Sanchez, Abel Paz, Javier Resano, Daniel Mozos, Antonio Plaza

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Tags: Algorithms, CUDA, FPGA, Image processing, nVidia, Sensing, Tesla C1060

May 19, 2012 by hgpu

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Alina Sbirlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar

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Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060

May 14, 2012 by hgpu

An Overview of Selected Hybrid and Reconfigurable Architectures

Sasa Stojanovic, Dragan Bojic, Miroslav Bojovic, Mateo Valero, Veljko Milutinovic

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Review

May 9, 2012 by hgpu

Memory Bandwidth Efficient Two-Dimensional Fast Fourier Transform Algorithm and Implementation for Large Problem Sizes

Berkin Akin, Peter A. Milder, Franz Franchetti, James C. Hoe

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, FFT, FPGA, nVidia, nVidia GeForce GTX 480

April 23, 2012 by hgpu

Computing Performance Benchmarks among CPU, GPU, and FPGA

Christopher Robert Cullinan, Timothy Richard Frattesi, Christopher Michael Wyant

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Tags: Algorithms, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 460, Performance

April 21, 2012 by hgpu

Image Convolution Processing: a GPU versus FPGA Comparison

Lucas M. Russo, Emerson C. Pedrino, Edilson Kato, Valentin Obac Roda

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Tags: CUDA, FPGA, Image processing, nVidia, nVidia GeForce GTX 295, Performance

April 21, 2012 by hgpu

OpenCL framework for a CPU, GPU, and FPGA Platform

Taneem Ahmed

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Tags: ATI, ATI Radeon HD 5450, Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

April 6, 2012 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

C to Cellular Automata and Execution on CPU, GPU and FPGA

Scalable Molecular Dynamics Simulation Using FPGAs and Multicore Processors

Parallel Processing using FPGAs and GPUs

Shortening design time through multiplatform simulations with a portable OpenCL golden-model: the LDPC decoder case

A Compiler and Runtime for Heterogeneous Computing

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

An Overview of Selected Hybrid and Reconfigurable Architectures

Memory Bandwidth Efficient Two-Dimensional Fast Fourier Transform Algorithm and Implementation for Large Problem Sizes

Computing Performance Benchmarks among CPU, GPU, and FPGA

Image Convolution Processing: a GPU versus FPGA Comparison

OpenCL framework for a CPU, GPU, and FPGA Platform

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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