high performance computing on graphics processing units: hgpu.org

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

Efficient Algorithm for RSA Text Encryption Using CUDA-C

Sonam Mahajan, Maninder Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, Security

May 26, 2014 by hgpu

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

Filip Jeremic, Sanzheng Qiao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 660

May 26, 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

Parallel Computation of Functions on Set Partitions

Chetan Rokhade

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Thesis

May 25, 2014 by hgpu

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng

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Tags: Algorithms, CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, Tesla K20

May 23, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

A combined MPI-CUDA parallel solution of linear and nonlinear Poisson-Boltzmann equation

Jose Colmenares, Antonella Galizia, Jesus Ortiz, Andrea Clematis, Walter Rocchia

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Tags: Algorithms, Biology, Boltzmann equation, CUDA, Electrostatic potential, Electrostatics, Heterogeneous systems, Macromolecule, MPI, nVidia, nVidia GeForce GTX 580, Poisson Boltzmann, Tesla C2075

May 21, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Ray Tracing with CUDA

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU

Performance Evaluation of Quicksort with GPU Dynamic Parallelism for Gene-Expression Quantile Normalization

SMCGen: Generating Reconfigurable Design for Sequential Monte Carlo Applications

Efficient Algorithm for RSA Text Encryption Using CUDA-C

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

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

Parallel Computation of Functions on Set Partitions

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

Vector Quantization: A Many-Core Approach

A combined MPI-CUDA parallel solution of linear and nonlinear Poisson-Boltzmann equation

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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