high performance computing on graphics processing units: hgpu.org

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Efficient Convex Optimization Approaches to Variational Image Fusion

Jing Yuan, Brandon Miles, Juan Shi, Greg Garvin, Xue-Cheng Tai, Aaron Fenster

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, Optimization, Sensing, Tesla C1060

January 13, 2012 by hgpu

Acceleration and Optimisation of a Monte Carlo Code for Light Propagation in Sprays and Other Scattering Media

Joakim Jonsson

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Optics, Optimization, Physics, Thesis

January 13, 2012 by hgpu

Parallel Implementations of Hopfield Neural Networks On GPU

Li Liang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Optimization

January 13, 2012 by hgpu

GPU Implementation of a Multiobjective Search Algorithm

Steffen Limmer, Dietmar Fey, Johannes Jahn

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Search, Tesla C2050

January 13, 2012 by hgpu

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Jiwon Seo, Yu-Hsuan Chen, David S. De Lorenzo, Sherman Lo, Per Enge, Dennis Akos, Jiyun Lee

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Tags: CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing

January 13, 2012 by hgpu

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms

Hartwig Anzt, Vincent Heuveline, Jose I. Aliaga, Maribel Castillo, Juan C. Fernandez, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, Optimization, Sparse linear iterative solvers, Tesla C1060

January 11, 2012 by hgpu

Petaflop biofluidics simulations on a two million-core system

Massimo Bernaschi, Satoshi Matsuoka, Mauro Bisson, Massimiliano Fatica, Toshio Endo, Simone Melchionna

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Tags: Algorithms, Biology, CUDA, GPU cluster, Medicine, nVidia, Optimization, Tesla M2050

January 11, 2012 by hgpu

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Niall Emmart, Charles C. Weems

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Optimization

January 11, 2012 by hgpu

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Jeffrey M. Fifield

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Tags: Computer science, Heterogeneous systems, OpenCL, Optimization, Thesis

January 10, 2012 by hgpu

Makespan computation for GPU threads running on a single streaming multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Bjorn Andersson

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Tags: Computer science, CUDA, nVidia, Optimization, Timing analysis

January 8, 2012 by hgpu

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Noriyuki Kushida

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Finite difference, Optimization, Physics, Plasma physics

January 7, 2012 by hgpu

Optimizing a Biomedical Imaging Orientation Score Framework

Chidiebere Okwudire, Martin Palatnik, Xu Zhang, Tanya Kudchadker

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Tags: Computational Complexity, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 570, Optimization

January 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

Efficient Convex Optimization Approaches to Variational Image Fusion

Acceleration and Optimisation of a Monte Carlo Code for Light Propagation in Sprays and Other Scattering Media

Parallel Implementations of Hopfield Neural Networks On GPU

GPU Implementation of a Multiobjective Search Algorithm

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms

Petaflop biofluidics simulations on a two million-core system

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Makespan computation for GPU threads running on a single streaming multiprocessor

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Optimizing a Biomedical Imaging Orientation Score Framework

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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