Minizinc model of a power-aware task placement onto a heterogenous platform (big-little, gpu, fpga)
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Updated
Apr 29, 2022 - Python
Minizinc model of a power-aware task placement onto a heterogenous platform (big-little, gpu, fpga)
blurhash algorithm implemented on GPU (OpenCL)
AlexLens is a comprehensive Image Classification and Transfer Learning application, specifically designed for heterogeneous computing platforms. It features a custom-built AlexNet Neural Network for in-depth analysis and learning.
GPU profiling through CUDA with N-body problem
Efficient Resource Sharing across Heterogeneous Computing
BeyondMoore has an ambitious goal to develop a software framework that performs static and dynamic optimizations, issues accelerator-initiated data transfers, and reasons about parallel execution strategies that exploit both processor and memory heterogeneity.
My MEng Computer Science thesis on the performance portability of the SYCL programming model
A set of microbenchmarks for deep copy in directive-based programming models
repository to test the OpenMP offloading capabilities to an NVIDIA GPU
Learning how to design heterogeneous compute applications using OpenCL with an emphasis on GPU acceleration
Gecko - A programming model for heterogeneous environments
Heterogeneous quantum computing simulator
MagmaDNN Benchmarksuite for heterogenous architectures
Course Programming on new Architecture-1 (GPU), autumn 2021
A modern header-only C++ library for parallel algorithmic (pseudo) random number generation supporting OpenMP, CUDA, ROCm and oneAPI
ECAS is a library for edge AI computing acceleration.
Fuzz Testing to Detect Platform Dependent Divergence for Heterogeneous Application (FSE 2021)
Heterogeneous Computation for 2D Cylinder Flow Simulation
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