high performance computing on graphics processing units: hgpu.org

hgpu.org » Code generation

Language virtualization for heterogeneous parallel computing

Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Rompf, Arvind K. Sujeeth, Pat Hanrahan, Martin Odersky, Kunle Olukotun

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Tags: Algorithms, Code generation, Computer science, Heterogeneous systems, High-level Languages

March 17, 2011 by hgpu

A framework for efficient and scalable execution of domain-specific templates on GPUs

Narayanan Sundaram, Anand Raghunathan, S. T. Chakradhar

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 8800 GTX, Tesla C870

March 15, 2011 by hgpu

Obsidian: GPU Programming in Haskell

Koen Claessen, Mary Sheeran, Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Package

March 13, 2011 by hgpu

Obsidian: GPU Kernel Programming in Haskell (thesis)

Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 480, Package, Thesis

March 13, 2011 by hgpu

Automatic Generation of Multicore Chemical Kernels

John C. Linford, John Michalakes, Manish Vachharajani, Adrian Sandu

Tags: Cell processor, Chemistry, Code generation, Computer science, CUDA, nVidia, OpenMP

March 6, 2011 by hgpu

Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

Muthu Manikandan Baskaran, Uday Bondhugula, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan

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Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Performance

February 28, 2011 by hgpu

A Domain-Specific Approach To Heterogeneous Parallelism

Hassan Chafi, Arvind K. Sujeeth, Kevin J. Brown, HyoukJoong Lee, Anand R. Atreya, Kunle Olukotun

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia GeForce GTX 275

February 27, 2011 by hgpu

Achieving a single compute device image in OpenCL for multiple GPUs

Jungwon Kim, Honggyu Kim, Joo H. Lee, Jaejin Lee

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL, Optimization

February 25, 2011 by hgpu

An Automated Approach for SIMD Kernel Generation for GPU based Software Acceleration

Kanupriya Gulati and Sunil P Khatri

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

February 21, 2011 by hgpu

A Strategy for Automatically Generating High Performance CUDA Code for a GPU Accelerator from a Specialized Fortran Code Expression

Pei-Hung Lin, Jagan Jayaraj, and Paul R. Woodward

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Tags: Cell processor, Code generation, Compilers, Computer science, CUDA, Fortran, High-level Languages, Memory model, nVidia, Tesla C1060

February 17, 2011 by hgpu

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

K.A. Hawick and D.P. Playne

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Tags: Code generation, Compilers, Computer science, CUDA, Finite difference, nVidia, Partial differential equations, PDEs

February 14, 2011 by hgpu

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

K.A. Hawick and D.P. Playne

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Tags: Code generation, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs

February 13, 2011 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

Language virtualization for heterogeneous parallel computing

A framework for efficient and scalable execution of domain-specific templates on GPUs

Obsidian: GPU Programming in Haskell

Obsidian: GPU Kernel Programming in Haskell (thesis)

Automatic Generation of Multicore Chemical Kernels

Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

A Domain-Specific Approach To Heterogeneous Parallelism

Achieving a single compute device image in OpenCL for multiple GPUs

An Automated Approach for SIMD Kernel Generation for GPU based Software Acceleration

A Strategy for Automatically Generating High Performance CUDA Code for a GPU Accelerator from a Specialized Fortran Code Expression

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

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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