high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla K40

A CUDA Back-End for the Equelle Compiler

Havard Heitlo Holm

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, CUDA, Differential equations, Finite volume method, Heterogeneous systems, nVidia, nVidia Quadro NVS 5200 M, Package, Partial differential equations, PDEs, Tesla K40, Thesis

September 8, 2014 by hgpu

HISQ inverter on Intel Xeon Phi and NVIDIA GPUs

O. Kaczmarek, C. Schmidt, P. Steinbrecher, Swagato Mukherjee, M. Wagner

View

Download (PDF)

Tags: Conjugate gradient solver, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Physics, QCD, Sparse matrix, Tesla K20, Tesla K40

September 5, 2014 by hgpu

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

F. D. Witherden, B. C. Vermeire, P. E. Vincent

View

Download (PDF)

Source codes

Tags: AMD FirePro W9100, ATI, CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Package, Tesla K40

September 2, 2014 by hgpu

Scalable Kernel Fusion for Memory-Bound GPU Applications

Mohamed Wahib and Naoya Maruyama

View

Download (PDF)

Tags: CUDA, Memory level parallelism, nVidia GeForce GTX 750 Ti, Tesla K20, Tesla K40

September 1, 2014 by wahibium

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, Jeffrey Potoff

View

Download (PDF)

Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla K40

August 19, 2014 by hgpu

CUDA Accelerated Entropy Constrained Vector Quantization and Multiple K-Means

John Ashley, Amy J. Braverman

View

Download (PDF)

Tags: Compression, Computer science, CUDA, nVidia, Tesla K40, Vector quantization, Visualization

August 1, 2014 by hgpu

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Bryan Ching

View

Download (PDF)

Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX Titan, Tesla K40, Thesis

July 29, 2014 by hgpu

Mixed-precision orthogonalization scheme and its case studies with CA-GMRES on a GPU

Ichitaro Yamazaki, Stanimire Tomov, Tingxing Dong, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Mixed precision, nVidia, Tesla K20, Tesla K40, Tesla M2090

July 29, 2014 by hgpu

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

Scott Kenneth Winkleblack

View

Download (PDF)

Tags: Computer science, CUDA, Genetic programming, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 26, 2014 by hgpu

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Istvan Zoltan Reguly

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, Differential equations, FEM, Finite element method, Finite volume method, Fluid dynamics, Heterogeneous systems, Linear Algebra, nVidia, Partial differential equations, PDEs, Programming techniques, Tesla C2070, Tesla K20, Tesla K40, Thesis

July 24, 2014 by hgpu

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Trevor DeVore

View

Download (PDF)

Tags: Bayesian, Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 23, 2014 by hgpu

Suitability of NVIDIA GPUs for SKA1-Low

Alessio Magro, Kristian Zarb Adami, Mike Clark, Steve Ord

View

Download (PDF)

Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 750 Ti, Signal processing, Tesla K40

July 18, 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

* * *

high performance computing on graphics processing units: hgpu.org

A CUDA Back-End for the Equelle Compiler

HISQ inverter on Intel Xeon Phi and NVIDIA GPUs

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

Scalable Kernel Fusion for Memory-Bound GPU Applications

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

CUDA Accelerated Entropy Constrained Vector Quantization and Multiple K-Means

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Mixed-precision orthogonalization scheme and its case studies with CA-GMRES on a GPU

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Suitability of NVIDIA GPUs for SKA1-Low

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

Most viewed papers (last 30 days)