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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

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

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

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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