to-many communications in large-scale network file systems that support parallel access to multiple storage devices. That is, we consider a communication model where there are a large number of clients (potentially hundreds or thousands) accessing multiple remote and distributed storage devices (whic...
The present invention relates to a parallel processing system by an OS for single processor capable of operating an OS for single processor and an existing application on a multiprocessor and achieving parallel processing by a multiprocessor with respect to the application, wherein the multiprocessor ...
Without special communication devices or OS modification, the Meta Process model and MpC can be used to build a parallel programming environment with good portability.Hiroaki InoueIsca International Conference on Parallel & Distributed Computing Systems...
zwang4/awesome-machine-learning-in-compilers Star1.4k Code Issues Pull requests Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation machine-learningcompilerparallel-computingparallelismartificial-intelligenceoperating-systems...
and post-CMOS devices; embedded parallel systems; dependability, survivability, and fault-tolerance; methodologies, benchmarking/metrics, and performance analysis and tools Programming Models and Tools: programming languages, compilers, middleware, and OS; libraries, runtime, and systems software; notations...
This is especially true for desktop systems where processors are shared among many different processes and where we cannot predict the time slices the worker threads will get. Figure 4 demonstrates the dynamic work distribution in action using four threads. It shows the sam...
In the large-scale parallel-computing platform technology, operating systems are updated for multi-core processors, and new and extension in optimizing compilers and development systems are being crafted out. In the distributed-systems arena, we are seeing rapid integration of mainstream enterprise-grade...
keeping all processors busy. Dynamic work distribution is crucial in typical applications since it is hard to predict how long a task will take. This is especially true for desktop systems where processors are shared among many different processes and where we cannot predict the time slices the ...
Proceedings of the IASTED International Conference Parallel and Distributed Computing and Systems November 3-6, 1999, MIT, Boston, USA Parallel Re?nement of Unstructured Meshes Jos? G. Casta? os and John E. Savage e n Department of Computer Science Brown University E-mail: jgc,jes @cs.brown...
During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, edge, and large scale machines). The 19th IEEE ISPA 2021 ...