distributed shared memory systems
CONSISTENCY MODELS IN DISTRIBUTED SHARED MEMORY SYSTEMS
... A Distributed Shared Memory (DSM) combines the advantage of shared memory parallel computer and distributed ...of distributed shared memory depends upon the ...
6
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_ the ...
6
Distributed shared memory architectures and global performance state estimation
... The filter has been applied in many areas: Chen et al. [CWS97] propose an Interval Kalman Filter (IKF) for the estimation of interval linear systems. Pearson et al. [PGEM97] investigate the stability of combat ...
199
Designing Twister2: Efficient Programming Environment Toolkit for Big Data
... writing distributed pleas- ingly parallel and one-pass ...and systems such as Apache Spark [61] and Apache Flink [15] were developed to over- come ...These systems are developed according to the ...
12
An Effective Approach of Data Security for Distributed Shared Memory Multiprocessors
... overlapped with DRAM access latency. Counter mode encryption’s security relies on the uniqueness of the pad/counter each time it is used for encryption (through incrementing the counter on each write back), hence it is ...
7
Record-and-Replay Techniques for HPC Systems: A Survey
... for shared memory models explored tradeoffs between replay styles ...each shared-memory ...for shared memory models, but also of many techniques for distributed ...
20
A Survey of Software based Distributed Shared Memory (DSM) implementation methodologies for Multiprocessor Environments
... the distributed system features to obtain the maximum possible ...A distributed shared memory (DSM) of distributed system is kind of mechanism that allowing system’s multiple processors ...
6
Optimization of Machine Learning Process Using Parallel Computing
... models: shared memory, distributed memory model and hybrid ...whole memory (single computers implement this concept through threads) [12], while in the second one, each processor has ...
7
A Parallel Hybrid Approach With MPI And OpenMP
... Comparison of the all three programming model shows the significant advantages of the Hybrid Model over the MPI and OpenMP concept. Result shows that the implementation of both concepts enhance the speed of the program ...
5
A Performance Evaluation of Distributed Algorithms on Shared Memory and Message Passing Middleware Platforms
... The distributed shared memory model is described by Tam et al in ...a distributed system visualize the disjoint memory spaces as a common memory space through which they can ...
7
Volume 53: Automated Verification of Critical Systems 2012
... on distributed reachability (run on a cluster of workstations with a network connection), multi-core reachability (multiple processors with shared memory), and symbolic reachability tools (based on ...
8
HPC GAP: engineering a 21st century high performance computer algebra system
... individual shared memory multi-core nodes, mid-scale distributed clusters of (multi-core) nodes and full-blown high-performance computing systems, comprising large-scale tightly con- nected ...
32
A Study on Inter process Communications in Distributed Computer systems
... all distributed systems and it is important to understand how the processes on different machines can exchange ...in distributed systems is always based on low-level message passing as offered ...
7
Shared Memory Transport for ALFA
... own memory upon receiving data, so moving the data to shared memory will require additional ...and shared memory transport are designed to support a zero-copy data transfer between ...
6
Complex Performance Modeling of Parallel Algorithms
... The workload w(s) corresponds to useful performed parallel computations while the overhead function h(s, p) represents latency times attributed to communication of parallel processes, synchronization, waiting to ...
14
Twister2: Design of a Big Data Toolkit
... Because of the underlying event-driven nature of both data analytics and message-driven services architecture, we can find many common aspects among the frameworks designed to process data and services. Such ...
18
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
Parallelization of formal concept analysis algorithms
... The second sub question on parallelizing the chosen serial algorithm is answered in Chapter 5 and Chapter 6. These two chapters present detail descriptions of new, shared memory and distributed ...
151
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
Major Trends in Operating Systems Development
... Software Refinements 6-21 Summary Annotated Bibliography i Early History Multiprogramming Virtual Memory Security and Distributed and Timesharing Systems Protection Systems Processing Sy[r] ...
130