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Author: Eva Kühn
Publisher: Nova Publishers
ISBN: 9781590331019
Category : Architecture
Languages : en
Pages : 138
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Book Description
Virtual Shared Memory for Distributed Architecture
Author: Eva Kühn
Publisher: Nova Publishers
ISBN: 9781590331019
Category : Architecture
Languages : en
Pages : 138
Get Book Here
Book Description
Virtual Shared Memory for Distributed Architecture
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Aims to develop a distributed virtual shared memory (DVSM) environment for a network of UNIX-based workstations and the CS-2. Reveals that the Shared Memory on Distributed Architectures (SODA) project is led by Meiko Scientific together with Telmat, SICS, GMD and ONERA. The shared memory programming model can be used for direct application porting and as a target for parallelizing compilers.
Author: Jelica Protic
Publisher: John Wiley & Sons
ISBN: 9780818677373
Category : Computers
Languages : en
Pages : 384
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Book Description
The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant issues that make the concept of DSM one of the most attractive approaches for building large-scale, high-performance multiprocessor systems. The authors provide a general introduction to the DSM field as well as a broad survey of the basic DSM concepts, mechanisms, design issues, and systems. The book concentrates on basic DSM algorithms, their enhancements, and their performance evaluation. In addition, it details implementations that employ DSM solutions at the software and the hardware level. This guide is a research and development reference that provides state-of-the art information that will be useful to architects, designers, and programmers of DSM systems.
Author: William Harold Schroeder
Publisher:
ISBN:
Category : Distributed operating systems (Computers)
Languages : en
Pages : 380
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Book Description
Author: Michel Dubois
Publisher: Springer Science & Business Media
ISBN: 1461536049
Category : Computers
Languages : en
Pages : 326
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Book Description
The workshop on Scalable Shared Memory Multiprocessors took place on May 26 and 27 1990 at the Stouffer Madison Hotel in Seattle, Washington as a prelude to the 1990 International Symposium on Computer Architecture. About 100 participants listened for two days to the presentations of 22 invited The motivation for this workshop was to speakers, from academia and industry. promote the free exchange of ideas among researchers working on shared-memory multiprocessor architectures. There was ample opportunity to argue with speakers, and certainly participants did not refrain a bit from doing so. Clearly, the problem of scalability in shared-memory multiprocessors is still a wide-open question. We were even unable to agree on a definition of "scalability". Authors had more than six months to prepare their manuscript, and therefore the papers included in this proceedings are refinements of the speakers' presentations, based on the criticisms received at the workshop. As a result, 17 authors contributed to these proceedings. We wish to thank them for their diligence and care. The contributions in these proceedings can be partitioned into four categories 1. Access Order and Synchronization 2. Performance 3. Cache Protocols and Architectures 4. Distributed Shared Memory Particular topics on which new ideas and results are presented in these proceedings include: efficient schemes for combining networks, formal specification of shared memory models, correctness of trace-driven simulations,synchronization, various coherence protocols, .
Author: Steven K. Reinhardt
Publisher:
ISBN:
Category :
Languages : en
Pages : 330
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Book Description
Author: Umakishore Ramachandran
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 23
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Book Description
Author: Arvin Park
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 48
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Book Description
Author: Chit-Ho Dominic Hung
Publisher: Open Dissertation Press
ISBN: 9781361009222
Category : Computers
Languages : en
Pages : 174
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Book Description
This dissertation, "A Software Shared Virtual Memory System With Three Way Coherence Protocols on the Intel Single-chip Cloud Computer" by Chit-ho, Dominic, Hung, 熊哲皓, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: With the advancement of design and fabrication of high-performance integrated circuits technology, it is foreseeable that processors with more than 1,000 cores per die will appear in the near future. However, these many-core architectures have introduced a lot of challenges at the memory system level, such as complicated cache coherence and limited memory access speed, to name a few. This thesis focuses on one prominent many-core prototype - the Intel's Single-chip Cloud Computer (SCC). The SCC architecture does not provide hardware cache coherency. Instead, it relies on on-chip programmable memory. The baseline coherence protocol for the SCC is the Software Managed Coherence (SMC) layer. To achieve memory consistency, it accesses shared memory without part of the typical cache hierarchy for efficient invalidation and flushing. We found that performance provided by this coherence layer in this manner is sub-optimal because accesses of shared memory would all turn into data update messages within the network mesh. As cache locality could not be exploited to its full potential, the execution pipelines stall much often for memory fetches from outside the chip. This research is to address the performance problem of shared virtual memory consistency for this cache in-coherent architecture. Oriented at sitting data on-chip as much as possible to reduce memory accesses external to the chip, we propose two techniques to leverage the cache hierarchy to full and reside data in the on-chip scratchpad memory. First, targeted at the architectural specificity of the hardware, we redesigned traditional software distributed shared memory (SDSM) to allow shared data be treated transparently like private memory so the cache hierarchy can be fully utilised without sacrificing memory consistency. Second, we propose a distance-aware page allocation scheme that samples access frequencies and select the most frequently-recently used pages to be stored on the on-chip scratchpad memory. Our experimental results show that our first technique, the ordinary SDSM outperforms the current SMC approach by 5 times. Moreover, in some cases, with the second technique that is based on scratchpad memory, our proposed system outperforms further by an additional 1.57 times. Our experiments also demonstrated that the SMC approach is not scalable due to congestion of the network mesh by coherence traffic generated while the two new approaches continued to scale well. The main contribution of this research is the implementation of a cache coherence software library system built for an architecture that comes with non-coherent cache hardware and just relies on software-defined cache. This new cache hierarchy has evidently opened the door for smarter and faster inter-processor-core data sharing without the need of complicated cache coherence hardware. Subjects: Distributed shared memory Cloud computing
Author: Abhishek Bhattacharjee
Publisher: Springer Nature
ISBN: 3031017579
Category : Technology & Engineering
Languages : en
Pages : 168
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Book Description
This book provides computer engineers, academic researchers, new graduate students, and seasoned practitioners an end-to-end overview of virtual memory. We begin with a recap of foundational concepts and discuss not only state-of-the-art virtual memory hardware and software support available today, but also emerging research trends in this space. The span of topics covers processor microarchitecture, memory systems, operating system design, and memory allocation. We show how efficient virtual memory implementations hinge on careful hardware and software cooperation, and we discuss new research directions aimed at addressing emerging problems in this space. Virtual memory is a classic computer science abstraction and one of the pillars of the computing revolution. It has long enabled hardware flexibility, software portability, and overall better security, to name just a few of its powerful benefits. Nearly all user-level programs today take for granted that they will have been freed from the burden of physical memory management by the hardware, the operating system, device drivers, and system libraries. However, despite its ubiquity in systems ranging from warehouse-scale datacenters to embedded Internet of Things (IoT) devices, the overheads of virtual memory are becoming a critical performance bottleneck today. Virtual memory architectures designed for individual CPUs or even individual cores are in many cases struggling to scale up and scale out to today's systems which now increasingly include exotic hardware accelerators (such as GPUs, FPGAs, or DSPs) and emerging memory technologies (such as non-volatile memory), and which run increasingly intensive workloads (such as virtualized and/or "big data" applications). As such, many of the fundamental abstractions and implementation approaches for virtual memory are being augmented, extended, or entirely rebuilt in order to ensure that virtual memory remains viable and performant in the years to come.
