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hgpu.org » Programming » CUDA

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Mark Gebhart, Daniel R. Johnson, David Tarjan, Stephen W. Keckler, William J. Dally, Erik Lindholm, Kevin Skadron

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia

February 22, 2012 by hgpu

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata, Vitezslav Zabka

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Tags: Algorithms, CUDA, Differential equations, Image processing, MRI, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Partial differential equations, PDEs

February 22, 2012 by hgpu

High Performance N-Body Simulation and Visualization through CUDA Architecture

Edgar Josafat Martinez Noriega, Tetsu Narumi

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Tags: CUDA, Molecular dynamics, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenGL, Physics, Rendering, Visualization

February 22, 2012 by hgpu

Variants of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito, Makoto Matsumoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

February 21, 2012 by hgpu

Efficient Data Management for GPU Databases

Peter Bakkum, Srimat Chakradhar

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Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 570, Package

February 21, 2012 by hgpu

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, Sensing, Tesla C2050

February 21, 2012 by hgpu

Acceleration of Composite Order Bilinear Pairing on Graphics Hardware

Ye Zhang, Chun Jason Xue, Duncan S. Wong, Nikos Mamoulis, S.M. Yiu

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Tags: Algorithms, Cloud, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Security, Tesla M2050

February 21, 2012 by hgpu

GPGPU Processing in CUDA Architecture

Jayshree Ghorpade, Jitendra Parande, Madhura Kulkarni, Amit Bawaskar

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Tags: Computer science, CUDA, Data parallelism, DirectCompute, nVidia, OpenCL, Review

February 21, 2012 by hgpu

Implementation of LTE Mini receiver on GPUs

Jose Vieira

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Tags: Computer science, CUDA, MIMO, nVidia, Thesis

February 20, 2012 by hgpu

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

Peng Di, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla C1060

February 20, 2012 by hgpu

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Alexandros Papakonstantinou, Deming Chen, Wen-mei Hwu

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Optimization

February 20, 2012 by hgpu

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Cedric Nugteren, Henk Corporaal

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL

February 20, 2012 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

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

High Performance N-Body Simulation and Visualization through CUDA Architecture

Variants of Mersenne Twister Suitable for Graphic Processors

Efficient Data Management for GPU Databases

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

GPGPU Processing in CUDA Architecture

Implementation of LTE Mini receiver on GPUs

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

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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