high performance computing on graphics processing units: hgpu.org

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A GPU-Based Simulation Kernel within Heterogeneous Collaborative Computation on Large-Scale Artificial Society

Li Zhen, Qiuxiao Gang, Guo Gang, Chen Bin

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Task scheduling, Tesla C2050

May 24, 2014 by hgpu

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Roger Viet Hoang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 570, Performance, Tesla C2050, Thesis, Virtual reality

May 23, 2014 by hgpu

Simulation Studies of Viral Advertisement Diffusion on Multi-GPU

Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He

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Tags: Computer science, CUDA, nVidia, Tesla C2050

May 21, 2014 by hgpu

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Christoph Kessler, Usman Dastgeer, Lu Li

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Optimization, Package, Review, Tesla C2050

May 15, 2014 by hgpu

Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs

Carlos Riveros, Manuel Ujaldon, Moscato Pablo

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C1060, Tesla C2050

May 12, 2014 by hgpu

Dynamic Orchestration of Massively Data Parallel Execution

Mehrzad Samadi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 560, OpenCL, Performance, Tesla C2050, Thesis

May 10, 2014 by hgpu

Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model

P. Ripesi, L. Biferale, S.F. Schifano, R. Tripiccione

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2050, Tesla K20

May 7, 2014 by hgpu

Accelerating Cryptosystems on Hardware Platforms

Wei Wang

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Tags: Cloud, Computer science, CUDA, FFT, nVidia, RSA, Security, Tesla C2050, Thesis

May 6, 2014 by hgpu

On the Parallelization of Integer Polynomial Multiplication

Farnam Mansouri

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Symbolic Computation, Tesla C2050, Thesis

April 25, 2014 by hgpu

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Fan Li, Ming-lu Jin

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization, Tesla C1060, Tesla C2050

April 21, 2014 by hgpu

Performance-aware component composition for GPU-based systems

Usman Dastgeer

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 by hgpu

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities

Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 7850, Computer science, CUDA, nVidia, nVidia GeForce GT 210, nVidia GeForce GTX 780, OpenCL, Security, Sequence matching, Tesla C2050

April 13, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A GPU-Based Simulation Kernel within Heterogeneous Collaborative Computation on Large-Scale Artificial Society

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Simulation Studies of Viral Advertisement Diffusion on Multi-GPU

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs

Dynamic Orchestration of Massively Data Parallel Execution

Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model

On the Parallelization of Integer Polynomial Multiplication

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Performance-aware component composition for GPU-based systems

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities

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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