CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture
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Updated
Jun 3, 2024 - C++
CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture
Concurrent CPU-GPU Programming using Task Models
a unified cross-architecture heterogeneous CFD solver
Usability and Performance in Heterogeneous Computing. Official EngineCL repository. Peer-reviewed (FGCS).
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (Full Paper accepted to ICCAD2023)!
Development and simulation framework for Application Specific Vector Processor
Multi-GPU & CPU OpenCL kernel executor with load-balancing as if there is one big GPU.
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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.
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
MagmaDNN Benchmarksuite for heterogenous architectures
Course Programming on new Architecture-1 (GPU), autumn 2021
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.
Efficient Resource Sharing across Heterogeneous Computing
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