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AVSS2011 demo session: GPU enabled Smart Video Node

Sadiye Guler, Jay Silverstein, Ian Pushee, Xiang Ma, Ashutosh Morde

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 220

November 14, 2011 by hgpu

An OpenCL Fast Fourier Transformation

Sven De Smet

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Tags: Computer science, Data Structures and Algorithms, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9400 M, nVidia GeForce GTX 220, nVidia GeForce GTX 280, OpenCL

October 3, 2011 by hgpu

A GPU-based maximal frequent itemsets mining algorithm over stream

Haifeng Li

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 220

May 19, 2011 by hgpu

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Rodinia Benchmarks for DPC++

Evaluation of Intel’s DPC++ Compatibility Tool in heterogeneous computing

DCA++: a state of the art implementation of the dynamical cluster approximation

Optimizing the Performance of Parallel and Concurrent Applications Based on Asynchronous Many-Task Runtimes

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

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