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Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Serge Guelton, Francois Irigoin, Ronan Keryell

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Package, Signal processing

November 17, 2011 by hgpu

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Haicheng Wu, Gregory Diamos, Si Li, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Programming Languages

November 17, 2011 by hgpu

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Allen D. Malony, Scott Biersdorff, Sameer Shende, Heike Jagode, Stanimire Tomov, Guido Juckeland, Robert Dietrich, Duncan Poole, Christopher Lamb

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla C870

November 17, 2011 by hgpu

Prospects for scalable 3D FFTs on heterogeneous exascale systems

Chris McClanahan, Kent Czechowski, Casey Battaglino, Kartik Iyer, P.-K. Yeung, Richard Vuduc

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Tags: Analytical model, Benchmarking, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Package, Tesla M2070

November 16, 2011 by hgpu

High Performance Data Mining Using R on Heterogeneous Platforms

Prabhat Kumar, Berkin Ozisikyilmaz, Wei-Keng Liao, Gokhan Memik, Alok Choudhary

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Tags: Computer science, CUDA, Data mining, Heterogeneous systems, MPI, nVidia, nVidia GeForce 8800 GT, Optimization

November 15, 2011 by hgpu

Variable selection in a GPU cluster using delta test

A. Guillen, M. van Heeswijk, D. Sovilj, M. G. Arenas, L. J. Herrera, H. Pomares, I. Rojas

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Tags: Algorithms, Computer science, Genetic programming, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450, Optimization

November 15, 2011 by hgpu

Natural HPC substrate: Exploitation of mixed multicore CPU and GPUs

Moussa Taifi, Abdallah Khreishah, Justin Y. Shi

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Tesla C1060

November 15, 2011 by hgpu

A capabilities-aware framework for using computational accelerators in data-intensive computing

M. Mustafa Rafique, Ali R. Butta, Dimitrios S. Nikolopoulos

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Tags: Cell processor, Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce 9600 M GT, Playstation

November 14, 2011 by hgpu

Exploiting Heterogeneity for Energy Efficiency in Chip Multiprocessors

V. Saripalli, G. Sun, A. Mishra, Y. Xie, S. Datta, V. Narayanan

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Tags: Computer science, Energy-efficient computing, Heterogeneous systems

November 12, 2011 by hgpu

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Zhi Tang, Youjip Won

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460

November 12, 2011 by hgpu

Creating HW/SW co-designed MPSoPC’s from high level programming models

Eugene Cartwright, Sen Ma, David Andrews, Miaoqing Huang

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Operating systems, Pthreads

November 12, 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

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Prospects for scalable 3D FFTs on heterogeneous exascale systems

High Performance Data Mining Using R on Heterogeneous Platforms

Variable selection in a GPU cluster using delta test

Natural HPC substrate: Exploitation of mixed multicore CPU and GPUs

Exploiting Heterogeneity for Energy Efficiency in Chip Multiprocessors

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Creating HW/SW co-designed MPSoPC’s from high level programming models

A translator framework for Dynamic Programming problems

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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