Heterogeneous systems | Page 81

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OpenACC Implementations Comparison

Ivan Lopez-Rodriguez

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050

September 8, 2012 by hgpu

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Benedict R. Gaster, Lee Howes

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance

September 7, 2012 by hgpu

A Portable High-Productivity Approach to Program Heterogeneous Systems

Zeki Bozkus, Basilio B. Fraguela

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Tesla C2070

September 1, 2012 by hgpu

Towards large-scale network analytics

Xintian Yang

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Tags: Algorithms, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Thesis, Visualization

September 1, 2012 by hgpu

Binomial American Option Pricing on CPU-GPU Hetergenous System

Nan Zhang, Chi-Un Lei, Ka Lok Man

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Tags: Algorithms, CUDA, Finance, Heterogeneous systems, nVidia, nVidia Quadro NVS 160 M

September 1, 2012 by hgpu

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Wei Jiang

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Tags: Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, MapReduce, MPI, nVidia, Tesla C2050, Thesis

September 1, 2012 by hgpu

A Research of MapReduce with GPU Acceleration

Miao Xin, Hao Li, Joan Lu

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Tags: ATI, ATI Radeon HD 5450, Computer science, Distributed computing, Heterogeneous systems, MapReduce, OpenCL

August 28, 2012 by hgpu

Designing a Unified Programming Model for Heterogeneous Machines

Michael Garland, Manjunath Kudlur, Yili Zheng

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2050, Tesla X2090

August 26, 2012 by hgpu

Improving OpenACC compatibility within accULL

Ivan Lopez-Rodriguez

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenACC, OpenCL, Tesla C2050

August 22, 2012 by hgpu

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Chunsheng Feng, Shi Shu, Jinchao Xu, Chen-Song Zhang

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Tags: Computational Physics, CUDA, Differential equations, FFT, Heterogeneous systems, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Poisson equation

August 22, 2012 by hgpu

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Source codes

Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

G.R. Mudalige, M.B. Giles, I. Reguly, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050, Tesla C2070

August 11, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

OpenACC Implementations Comparison

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

A Portable High-Productivity Approach to Program Heterogeneous Systems

Towards large-scale network analytics

Binomial American Option Pricing on CPU-GPU Hetergenous System

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

A Research of MapReduce with GPU Acceleration

Designing a Unified Programming Model for Heterogeneous Machines

Improving OpenACC compatibility within accULL

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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