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Tight collaboration between experts of machine learning and manycore system design is necessary to create a data-driven manycore design framework that integrates both learning and expert knowledge. Such a framework will be necessary to…

Machine Learning · Computer Science 2017-12-11 Ryan Gary Kim , Janardhan Rao Doppa , Partha Pratim Pande , Diana Marculescu , Radu Marculescu

Modeling the spread of social contagions is central to various applications in social computing. In this paper, we study the learnability of the competitive threshold model from a theoretical perspective. We demonstrate how competitive…

Machine Learning · Computer Science 2022-05-10 Yifan Wang , Guangmo Tong

We study abstraction for crash-resilient concurrent objects using non-volatile memory (NVM). We develop a library correctness criterion that is sound for ensuring contextual refinement in this setting, thus allowing clients to reason about…

Programming Languages · Computer Science 2022-01-31 Artem Khyzha , Ori Lahav

The effective use of parallel computing resources to speed up algorithms in current multi-core parallel architectures remains a difficult challenge, with ease of programming playing a key role in the eventual success of various parallel…

Data Structures and Algorithms · Computer Science 2014-12-09 Arash Farzan , Alejandro López-Ortiz , Patrick K. Nicholson , Alejandro Salinger

In this tutorial paper, we will firstly review some basic simulation concepts and then introduce the parallel and distributed simulation techniques in view of some new challenges of today and tomorrow. More in particular, in the last years…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-19 Gabriele D'Angelo

Large, complex, multi-scale, multi-physics simulation codes, running on high performance com-puting (HPC) platforms, have become essential to advancing science and engineering. These codes simulate multi-scale, multi-physics phenomena with…

Computational Engineering, Finance, and Science · Computer Science 2014-10-24 A. Dubey , S. Brandt , R. Brower , M. Giles , P. Hovland , D. Q. Lamb , F. Loffler , B. Norris , B. OShea , C. Rebbi , M. Snir , R. Thakur

The unprecedented growth in data demand from emerging applications has turned virtual memory (VM) into a major performance bottleneck. Researchers explore new hardware/OS co-designs to optimize VM across diverse applications and systems. To…

In this paper I describe some results on the use of virtual processors technology for parallelize some SPMD computational programs in a cluster environment. The tested technology is the INTEL Hyper Threading on real processors, and the…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Gianluca Argentini

Micro-core architectures combine many low memory, low power computing cores together in a single package. These are attractive for use as accelerators but due to limited on-chip memory and multiple levels of memory hierarchy, the way in…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-06 Maurice Jamieson , Nick Brown

All modern processors include a set of vector instructions. While this gives a tremendous boost to the performance, it requires a vectorized code that can take advantage of such instructions. As an ideal vectorization is hard to achieve in…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-08 Piotr Bialas , Adam Strzelecki

As the need for computational power and efficiency rises, parallel systems become increasingly popular among various scientific fields. While multiple core-based architectures have been the center of attention for many years, the rapid…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-11 E. I. Ioannidis , N. Cheimarios , A. N. Spyropoulos , A. G. Boudouvis

Virtualization, a technique once used to multiplex the resources of high-priced mainframe hardware, is seeing a resurgence in applicability with the increasing computing power of commodity computers. By inserting a layer of software between…

Operating Systems · Computer Science 2007-05-23 Nadir Kiyanclar

Grid computing (GC) systems are large-scale virtual machines, built upon a massive pool of resources (processing time, storage, software) that often span multiple distributed domains. Concurrent users interact with the grid by adding new…

Programming Languages · Computer Science 2014-04-02 Carlos Alberto Ramírez Restrepo , Jorge A. Pérez , Jesús Aranda , Juan Francisco Díaz-Frias

Cloud computing has become the backbone of the computing industry and offers subscription-based on-demand services. Through virtualization, which produces a virtual instance of a computer system running in an abstracted hardware layer, it…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-19 Sakshi Chhabra , Ashutosh Kumar Singh

Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are…

Human-Computer Interaction · Computer Science 2018-12-04 Min Chen , Kelly Gaither , Nigel W. John , Brian McCann

Programming microcontrollers involves low-level interfacing with hardware and peripherals that are concurrent and reactive. Such programs are typically written in a mixture of C and assembly using concurrent language extensions (like…

Programming Languages · Computer Science 2021-09-02 Abhiroop Sarkar , Robert Krook , Bo Joel Svensson , Mary Sheeran

We propose a tool-supported methodology for design-space exploration for embedded systems. It provides means to define high-level models of applications and multi-processor architectures and evaluate the performance of different deployment…

Software Engineering · Computer Science 2014-06-10 Jean-Francois Kempf , Olivier Lebeltel , Oded Maler

An adventure at engineering design and modeling is possible with a Virtual Reality Environment (VRE) that uses multiple computer-generated media to let a user experience situations that are temporally and spatially prohibiting. In this…

Computational Engineering, Finance, and Science · Computer Science 2007-08-15 L. -V. Bochkareva , M. -V. Kireitseu , G. R. Tomlinson , H. Altenbach , V. Kompis , D. Hui

Concurrency has been rapidly gaining importance in general-purpose computing, caused by the recent turn towards multicore processing architectures. As a result, an increasing number of developers have to learn to write concurrent programs,…

Programming Languages · Computer Science 2015-03-17 Sebastian Nanz , Faraz Torshizi , Michela Pedroni , Bertrand Meyer

The interest in virtualization has been growing rapidly in the IT industry because of inherent benefits like better resource utilization and ease of system manageability. The experimentation and use of virtualization as well as the…

Networking and Internet Architecture · Computer Science 2011-05-03 Ishtiaq Ali , Natarajan Meghanathan
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