high performance computing on graphics processing units: hgpu.org

hgpu.org » MapReduce

Ray Tracing in the Cloud using MapReduce

Lesley Northam, Khuzaima Daudjee, Rob Smits, Joe Istead

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Tags: Cloud, Computer science, CUDA, Hadoop, MapReduce, nVidia, Raytracing, Rendering

August 5, 2013 by hgpu

HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL

Max Grossman, Mauricio Breternitz, Vivek Sarkar

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Tags: APU, ATI, Computer science, Heterogeneous systems, Java, MapReduce, nVidia, OpenCL, Tesla M2050

June 30, 2013 by hgpu

A MapReduce Framework for Heterogeneous Computing Architectures

Marwa Khamis Elteir

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Tesla C2050, Tesla M2050, Thesis

June 6, 2013 by hgpu

Improving Synchronization and Data Access in Parallel Programming Models

Ettore Speziale

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Tags: Computer science, CUDA, MapReduce, MPI, nVidia, OpenCL, OpenMP, Thesis

May 13, 2013 by hgpu

Supporting Iteration in a Heterogeneous Data Flow Engine

Jon Currey, Simon Baker, Christopher J. Rossbach

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Tags: Algorithms, Computer science, Computer vision, DirectCompute, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 580, Optical flow

April 18, 2013 by hgpu

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

Hui Li, Geoffrey Fox, Gregor Laszewski, Zhenhua Guo, Judy Qiu

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Tags: Clustering, CUDA, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia

April 13, 2013 by hgpu

Modeling of High Performance Programs to Support Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Software Engineering, Tesla M2070, Thesis

April 9, 2013 by hgpu

Scaling up scientific computations by using map-reduce-like control flow on NUMA architectures

Vlad Slavici

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, MapReduce, Matrix multiplication, nVidia, Tesla M2090, Thesis

April 3, 2013 by hgpu

Efficient Parallel and External Matching

Marcel Birn, Vitaly Osipov, Peter Sanders, Christian Schulz, Nodari Sitchinava

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, MapReduce, Memory model, nVidia, nVidia GeForce GTX 480

February 23, 2013 by hgpu

Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels

Reza Farivar

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 275, Thesis

February 9, 2013 by hgpu

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

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Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050

February 9, 2013 by hgpu

Grex: An efficient MapReduce framework for graphics processing units

Can Basaran, Kyoung-Don Kang

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Tags: Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 460

February 5, 2013 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

HadoopCL: MapReduce on Distributed Heterogeneous Platforms Through Seamless Integration of Hadoop and OpenCL

A MapReduce Framework for Heterogeneous Computing Architectures

Improving Synchronization and Data Access in Parallel Programming Models

Supporting Iteration in a Heterogeneous Data Flow Engine

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

Modeling of High Performance Programs to Support Heterogeneous Computing

Scaling up scientific computations by using map-reduce-like control flow on NUMA architectures

Efficient Parallel and External Matching

Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Grex: An efficient MapReduce framework for graphics processing units

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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