high performance computing on graphics processing units: hgpu.org

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Large scale parallel state space search utilizing graphics processing units and solid state disks

Damian Sulewski

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Probabilistic model checking, Search strategies, Thesis

May 11, 2012 by hgpu

Implementation of digital down converter in GPU

Amit Upadhyay, Yawatkar Shakun Rajan

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Tags: Astrophysics, CUDA, FFT, nVidia, Signal processing, Thesis, Timing analysis

May 7, 2012 by hgpu

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

Patrick Carpenter

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Tesla C2070, Tesla M2050, Thesis

May 6, 2012 by hgpu

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

Franz Xaver Bayerl

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Tags: Code generation, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 560 Ti, Performance, Thesis

April 19, 2012 by hgpu

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

William Spencer Crosswy

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, Numerical Analysis, OpenCL, Thesis

April 18, 2012 by hgpu

Acceleration of CFD and data analysis using graphics processors

Ali Khajeh Saeed

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Tags: ATI, ATI FirePro V7800, ATI Stream, CUDA, Fluid dynamics, nVidia, Tesla C2070, Thesis

April 16, 2012 by hgpu

Efficient Hash Tables on the GPU

Dan Anthony Feliciano Alcantara

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Thesis

April 14, 2012 by hgpu

Parallel programming with CUDA

Jon Nielsen, Truls Mosegaard

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Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Overview, Thesis

April 13, 2012 by hgpu

Programming issues for video analysis on Graphics Processing Units

Juan Gomez Luna

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Signal processing, Thesis

April 12, 2012 by hgpu

A Study of Productivity and Performance of Modern Vector Processors

Paul Springer

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, OpenCL, Performance, Thesis

April 9, 2012 by hgpu

Robust Computational Tools for Multiple Testing With Genetic Association Studies

William L. Welbourn Jr.

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Thesis

April 7, 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

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high performance computing on graphics processing units: hgpu.org

Large scale parallel state space search utilizing graphics processing units and solid state disks

Implementation of digital down converter in GPU

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

Acceleration of CFD and data analysis using graphics processors

Efficient Hash Tables on the GPU

Parallel programming with CUDA

Programming issues for video analysis on Graphics Processing Units

A Study of Productivity and Performance of Modern Vector Processors

Robust Computational Tools for Multiple Testing With Genetic Association Studies

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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