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distributed shared memory environment

A Performance Evaluation of Distributed Algorithms on Shared Memory and Message Passing Middleware Platforms

A Performance Evaluation of Distributed Algorithms on Shared Memory and Message Passing Middleware Platforms

... virtual memory. This results in fast access. However, memory spaces are bounded by the amount of virtual memory in the system, and are vulnerable to server ...is shared among all applications ...

7

Domain Decomposition in Distributed and Shared Memory Environment I: A Uniform Decomposition and Performance Analysis for the NCUBE and JPL Mark IIIfp Hypercubes

Domain Decomposition in Distributed and Shared Memory Environment I: A Uniform Decomposition and Performance Analysis for the NCUBE and JPL Mark IIIfp Hypercubes

... We allow either a hardware controlled cache or user local memory to be the lowest level of the memory hierarchy.. We do not show a 68020/68882 based applications controller in b as it is[r] ...

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The Sea of Stuff : a model to manage shared sutable data in a distributed environment

The Sea of Stuff : a model to manage shared sutable data in a distributed environment

... information about the client’s requests through time. A stateless service requires more expensive network requests, but its design is simpler to implement, it is resistant to server failures, and the server does not need ...

336

Distributed shared memory architectures and global performance state estimation

Distributed shared memory architectures and global performance state estimation

... eral purpose processor through Pipeline Balancing (PLB). In this case performance mon- itoring controls the dynamic adaption of resources. Dynamic program phase detection is applied in Balasubramonian et al. [BABD00] to ...

199

A Survey of Software based Distributed Shared Memory (DSM) implementation methodologies for Multiprocessor Environments

A Survey of Software based Distributed Shared Memory (DSM) implementation methodologies for Multiprocessor Environments

... this environment: quality of service, bandwidth, expansion, security, access latency, power consumption and memory, performance etc [1] .... Distributed system have evolved using message passing as ...

6

Testing of a Novel Distributed Shared Memory Framework

Testing of a Novel Distributed Shared Memory Framework

... own memory, which communicate via a ...own memory there is no bottleneck for access to memory, they only use the network to propagate updates to data shared with other ...programming ...

98

Designing Twister2: Efficient Programming Environment Toolkit for Big Data

Designing Twister2: Efficient Programming Environment Toolkit for Big Data

... writing distributed pleas- ingly parallel and one-pass ...modern distributed streaming systems, research was done on shared memory streaming systems, including StreamIt [56], Bore- alis [8], ...

12

An Effective Approach of Data Security for
          Distributed Shared Memory Multiprocessors

An Effective Approach of Data Security for Distributed Shared Memory Multiprocessors

... External memory and peripherals are assumed to be untrusted; they may be observed and tampered with at will by an ...TE environment, the integrity of a program’s execution is ...PTR environment ...

7

A flexible framework for distributed shared objects

A flexible framework for distributed shared objects

... allocate memory on the local machine and to declare it ...execution environment of TieadM arks distributes the inform ation about the shared memory sections to the other ...the shared ...

158

Shared Memory Multiprocessor

Shared Memory Multiprocessor

... a shared memory environment that includes certain fetch and operations_ As noted above a substantial body of work has also addressed mutual exclusion using more primitive read and write atomicity_ ...

6

Twister2: Design of a Big Data Toolkit

Twister2: Design of a Big Data Toolkit

... well-known examples for higher level data abstractions. Twister2 provides an abstraction layer so that developers can develop applications using data transformation APIs that are provided. The distributed data ...

20

Current Trends in Parallel Computing

Current Trends in Parallel Computing

... Shared Memory Parallel Computing Models In shared memory architecture a number of processors are connected to a common central memory.. Since all processors are sharing a single address [r] ...

7

Survey on Pure Parallel Programming Models: OpenMP and MPI

Survey on Pure Parallel Programming Models: OpenMP and MPI

... ABSTRACT: This paper presents all pure parallel programming models. shared and distributed memory approaches are also reviewed in this paper. This paper introduces the contribution of Open standards ...

5

A parallel compact-TVD method for compressible fluid dynamics employing shared and distributed-memory paradigms

A parallel compact-TVD method for compressible fluid dynamics employing shared and distributed-memory paradigms

... We have examined the possibility of improving the performance of the shared-memory kernel. Specific times obtained with the different configura- tions are shown in Fig. 2(b). First, more tasks have been ...

17

Twister2: Design of a Big Data Toolkit

Twister2: Design of a Big Data Toolkit

... in distributed systems as it touches on most of the core components of the ...the distributed application as a ...a distributed shared ...

18

A Novel machine learning Approach to Memory Optimization in Distributed Graph Processing Using CBIIM Model

A Novel machine learning Approach to Memory Optimization in Distributed Graph Processing Using CBIIM Model

... The study proposed a new memory optimization scheme for distributed graph processing. The system solves the main problem in the literature, which is memory requirement. The study overcomes the above ...

7

Shared Memory Transport for ALFA

Shared Memory Transport for ALFA

... described shared memory transport FairMQ extends its offer of transport imple- mentations with one that can significantly optimize inter-process device communication and reduce memory and CPU ...

6

Implementing Shared Memory Parallelism in MCBEND

Implementing Shared Memory Parallelism in MCBEND

... In conclusion we are very pleased with the linear nature of the scaling graphs which show, at least for the current test cases and current number of threads, that we have not yet reached a point where there is excessive ...

6

Optimizing Memory Efficiency for Many-Core Architecture.

Optimizing Memory Efficiency for Many-Core Architecture.

... for memory-intensive ...the memory access streams to L1 D-caches for many applications contains a significant of requests with low reuse, which greatly reduce the cache ...GPU memory hierarchy, we ...

158

An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines

An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines

... We propose an efficient programming environment for developing parallel NLP systems on shared-memory parallel machines, called the Parallel Substrate for Typed Feature Structures PSTFS..[r] ...

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