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Comparative evaluation of platforms for parallel Ant Colony Optimization

Gines D. Guerrero, Jose M. Cecilia, Antonio Llanes, Jose M. Garcia, Martyn Amos, Manuel Ujaldon

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Tags: Algorithms, APU, ATI FirePro V8800, ATI Radeon HD 6310, ATI Radeon HD 6520, ATI Radeon HD 6650 M, Computer science, OpenCL, Optimization, Tesla C2050

February 26, 2014 by hgpu

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Tino Lourens

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Tags: ATI, ATI Radeon HD 6310, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, OpenCL

April 1, 2013 by hgpu

Characterizing and Evaluating a Key-value Store Application on Heterogeneous CPU-GPU Systems

Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6310, ATI Radeon HD 6550, Computer science, Databases, Heterogeneous systems, OpenCL

February 11, 2012 by hgpu

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tntorch - Tensor Network Learning with PyTorch

tntorch: Tensor Network Learning with PyTorch

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

SYCLCOMP Utilities

On the Compilation Performance of Current SYCL Implementations

M1 GPUs for (scientific) computations in C++

Seamless GPU acceleration for C++ based physics with the Metal Shading Language on Apple’s M series unified chips

CUB: Cooperative primitives for CUDA C++

Onesweep: A Faster Least Significant Digit Radix Sort for GPUs

Simulator and workload generator for Edge-to-Cloud environments

FELARE: Fair Scheduling of Machine Learning Applications on Heterogeneous Edge Systems

piet-gpu: An experimental GPU compute-centric 2D renderer

Fast GPU bounding boxes on tree-structured scenes

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

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