Monte Carlo eXtreme for OpenCL (MCXCL)
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Updated
Jun 13, 2024 - C
Monte Carlo eXtreme for OpenCL (MCXCL)
a unified cross-architecture heterogeneous CFD solver
A mixed-criticality platform built around Cheshire, with a number of safety/security and predictability features. Ready-to-use FPGA flow on multiple boards is available.
CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture
Multi-GPU & CPU OpenCL kernel executor with load-balancing as if there is one big GPU.
A space computing platform built around Cheshire, with a configurable number of safety, security, reliability and predictability features with a ready-to-use FPGA flow on multiple boards.
Efficient Resource Sharing across Heterogeneous Computing
Platform-aware programming in Julia
Data Parallel Extensions for Python*
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.
[ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
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.
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (Full Paper accepted to ICCAD2023)!
A modern header-only C++ library for parallel algorithmic (pseudo) random number generation supporting OpenMP, CUDA, ROCm and oneAPI
Heterogeneous Research Platform (HERO) for exploration of heterogeneous computers consisting of programmable many-core accelerators and an application-class host CPU, including full-stack software and hardware.
GPU profiling through CUDA with N-body problem
ECAS is a library for edge AI computing acceleration.
HeteroGen: transpiling C to heterogeneous HLS code with automated test generation and program repair (ASPLOS 2022)
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