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Extending a C-like Language for Portable SIMD Programming

Roland Leissa, Sebastian Hack, Ingo Wald

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Tags: Compilers, Computer science, High-level Languages, Intel, Performance

January 4, 2012 by hgpu

Toolchain for programming, simulating and studying the XMT many-core architecture

Fuat Keceli, Alexandros Tzannes, George C. Caragea, Rajeev Barua, Uzi Vishkin

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Tags: Algorithms, Compilers, Computer science, Hardware Architecture, nVidia, nVidia GeForce GTX 280, Package

December 24, 2011 by hgpu

Experiences Developing the OpenUH Compiler and Runtime Infrastructure

Barbara Chapman, Deepak Eachempati, Oscar Hernandez

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Tags: Code generation, Compilers, Computer science, nVidia, Package, PTX

December 19, 2011 by hgpu

Optimizing for a Many-Core Architecture without Compromising Ease-of-Programming

Uzi Vishkin, Rajeev Barua

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Tags: Algorithms, Benchmarking, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Prefetch, Rendering, Thesis

December 16, 2011 by hgpu

Bringing Parallel Performance to Python with Domain-Specific Selective Embedded Just-in-Time Specialization

Shoaib Kamil, Derrick Coetzee, Armando Fox

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Python

December 12, 2011 by hgpu

A New Compilation Path: From Python/NumPy to OpenCL

Xunhao Li, Rahul Garg, Jose Nelson Amaral

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Tags: ATI, ATI Radeon HD 5850, Benchmarking, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 260, OpenCL, Python

November 26, 2011 by hgpu

Using the High Productivity Language Chapel to Target GPGPU Architectures

Albert Sidelnik, Maria J. Garzaran, David Padua, Bradford L. Chamberlain

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 280, Optimization

November 19, 2011 by hgpu

A translator framework for Dynamic Programming problems

Alejandro Acosta, Francisco Almeida, Ignacio Pelaez

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Tags: Algorithms, Compilers, Computer science, Heterogeneous systems

November 12, 2011 by hgpu

Compiling for a heterogeneous vector image processor

Fabien Coelho, Francois Irigoin

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Tags: Compilers, Heterogeneous systems, Image processing

November 12, 2011 by hgpu

A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

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Tags: Compilers, Computer science, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Sorting, Thesis

November 10, 2011 by hgpu

MELT-a Translated Domain Specific Language Embedded in the GCC Compiler

Basile Starynkevitch

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Tags: Compilers, Computer science, OpenCL, Optimization, Programming Languages, Software Engineering

November 7, 2011 by hgpu

Challenges for compiler support for exascale computing

Daniel Quinlan

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Tags: Compilers, Computer science, CUDA, nVidia, Optimization, Presentation

November 5, 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

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high performance computing on graphics processing units: hgpu.org

Extending a C-like Language for Portable SIMD Programming

Toolchain for programming, simulating and studying the XMT many-core architecture

Experiences Developing the OpenUH Compiler and Runtime Infrastructure

Optimizing for a Many-Core Architecture without Compromising Ease-of-Programming

Bringing Parallel Performance to Python with Domain-Specific Selective Embedded Just-in-Time Specialization

A New Compilation Path: From Python/NumPy to OpenCL

Using the High Productivity Language Chapel to Target GPGPU Architectures

A translator framework for Dynamic Programming problems

Compiling for a heterogeneous vector image processor

A CPU-GPU Hybrid Runtime for the Aeminium Language

MELT-a Translated Domain Specific Language Embedded in the GCC Compiler

Challenges for compiler support for exascale computing

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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