Virtual Machine and Integrated Developer Environment for Sleptsov Net Computing

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Parallel Processing Letters Pub Date : 2023-06-06 DOI:10.1142/s0129626423500068
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Abstract

Modern computing is a path of violations and transformations coming from an intrinsically concurrent application domain into a sequence of instructions and then back to concurrency with OpenMP, MPI and CUDA/OpenCL. Why we create so many difficulties? Sleptsov Net Computing (SNC) maps a task into an appropriate computing structure implemented as a re-configurable multidimensional sparse matrix of computing memory. It has entirely graphical mass parallel language for concurrent programming and a framework of techniques for concurrent program verification to develop reliable software. Estimated efficiency of SNC is higher than 50% compared to actual less that 1% efficiency of the most powerful supercomputers. It yields hyper-performance capable of efficient control of hyper-sonic objects, colliders, thermonuclear reaction. This paper presents an open source prototype VM and IDE for SNC with a view on upcoming hardware implementation of the corresponding computer.
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sleep . Net计算的虚拟机和集成开发环境
现代计算是一种从本质上并发的应用程序域到指令序列的冲突和转换路径,然后返回到与OpenMP、MPI和CUDA/OpenCL的并发。为什么我们会制造这么多困难?Sleptsov网络计算(SNC)将任务映射到适当的计算结构中,该计算结构被实现为计算存储器的可重新配置的多维稀疏矩阵。它具有用于并发编程的完全图形化的大规模并行语言,以及用于并发程序验证以开发可靠软件的技术框架。SNC的估计效率高于50%,而最强大的超级计算机的实际效率不到1%。它产生了超高性能,能够有效控制超音速物体、对撞机和热核反应。本文提出了一个用于SNC的开源原型VM和IDE,并展望了相应计算机即将实现的硬件。
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来源期刊
Parallel Processing Letters
Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
0.90
自引率
25.00%
发文量
12
期刊介绍: Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits
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