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A framework for writing RDMA applications with high-level abstraction and asynchronous APIs.
Codon is an LLVM-based Python compiler and statically typed implementation that translates source code into optimized machine instructions. It functions as a high-performance numerical backend and a GPU computing framework designed to remove runtime overhead. The project implements a compiled alternative to NumPy, translating array logic directly into machine code. It differentiates itself by generating specialized hardware kernels for graphics processors and utilizing static type inference to enable aggressive machine-code optimization. The system provides capabilities for parallel workload
An Open Source Implementation of the Actor Model in C++
alpaka - Abstraction Library for Parallel Kernel Acceleration
The main features of alpaka-group/alpaka are: Parallel Programming Frameworks.
Projects with overlapping indexed features include: bloomen/transwarp — A header-only C++ library for task concurrency. datenlord/async-rdma — A framework for writing RDMA applications with high-level abstraction and asynchronous APIs. exaloop/codon — Codon is an LLVM-based Python compiler and statically typed implementation that translates source code into optimized… facebookincubator/dispenso — The project provides high-performance concurrency, enabling highly parallel computation. fastflow/fastflow — FastFlow is a programming library implemented in modern C++ and targeting multi/many-cores (there exists an… actor-framework/actor-framework — An Open Source Implementation of the Actor Model in C++.
