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OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

Albert Saa-Garriga, David Castells-Rufas, Jordi Carrabina

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Tesla M2050

May 5, 2015 by hgpu

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

Peng Du, Jie-Yi Zhao, Wan-Bin Pan, Yi-Gang Wang

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla K20

May 5, 2015 by hgpu

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Michael Figurnov, Dmitry Vetrov, Pushmeet Kohli

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Tags: CNN, Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 980

May 5, 2015 by hgpu

IPMACC: Translating OpenACC API to OpenCL

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Code generation, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Tesla K20

May 3, 2015 by hgpu

Efficient Implementation of Bi-directional Path Tracer on GPU

Vilem Otte, Marek Vinkler

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 720 M, Raytracing, Rendering

May 3, 2015 by hgpu

Fine-Grained Synchronizations and Dataflow Programming on GPUs

Ang Li, Gert-Jan van den Braak, Henk Corporaa, Akash Kumar

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Performance, PTX

May 3, 2015 by hgpu

Massively Parallel kNN using CUDA on Spam-Classification

Joshua M. Smithrud, Patrick McElroy, Razvan Andonie

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 260

May 3, 2015 by hgpu

Parallel Genetic Algorithms on a GPU to Solve the Travelling Salesman Problem

Leopoldo Noel Gaxiola Sanchez, Juan Jose Tapia Armenta, Victor Hugo Diaz Ramirez

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Tags: Algorithms, Computer science, CUDA, Genetic algorithm, nVidia, nVidia GeForce GTX 780, Path problems

April 27, 2015 by hgpu

Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors

Weifeng Liu, Brian Vinter

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Tags: ATI, Computer science, CUDA, Intel HD 5500, Mathematical Software, Numerical Analysis, nVidia, nVidia Jetson TK1, OpenCL, Package, Sparse matrix

April 27, 2015 by hgpu

GPU Accelerated framework for financial nested simulations

Joris Cramwinckel

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Tags: CUDA, Finance, nVidia, Risk Management, Tesla C2050, Tesla K20, Thesis

April 27, 2015 by hgpu

Algorithm 9xx: Sparse QR Factorization on the GPU

Sencer Nuri Yeralan, Timothy A. Davis, Sanjay Ranka

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Package, Sparse matrix, Tesla C2070

April 25, 2015 by hgpu

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

Reza Nakhjavani

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Tags: Algorithms, CUDA, GPU cluster, Heterogeneous systems, Image processing, Medicine, nVidia, nVidia GeForce GTX Titan, PC cluster, Thesis

April 25, 2015 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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high performance computing on graphics processing units: hgpu.org

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

IPMACC: Translating OpenACC API to OpenCL

Efficient Implementation of Bi-directional Path Tracer on GPU

Fine-Grained Synchronizations and Dataflow Programming on GPUs

Massively Parallel kNN using CUDA on Spam-Classification

Parallel Genetic Algorithms on a GPU to Solve the Travelling Salesman Problem

Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors

GPU Accelerated framework for financial nested simulations

Algorithm 9xx: Sparse QR Factorization on the GPU

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

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