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
repository to test the OpenMP offloading capabilities to an NVIDIA GPU
A set of microbenchmarks for deep copy in directive-based programming models
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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