Adaptive correlated prefetch with large-scale hybrid memory system for stream processing

2018 ◽  
Vol 74 (9) ◽  
pp. 4746-4770 ◽  
Author(s):  
Sung Min Lee ◽  
Su-Kyung Yoon ◽  
Jeong-Geun Kim ◽  
Shin-Dug Kim
Keyword(s):  
Large Scale ◽  
Stream Processing ◽  
Memory System ◽  
Hybrid Memory

RTHMS: a tool for data placement on hybrid memory system

2017 ◽  
Vol 52 (9) ◽  
pp. 82-91 ◽  
Author(s):  
Ivy Bo Peng ◽  
Roberto Gioiosa ◽  
Gokcen Kestor ◽  
Pietro Cicotti ◽  
Erwin Laure ◽  
...  
Keyword(s):  
Data Placement ◽  
Memory System ◽  
Hybrid Memory

cNV SRAM: CMOS Technology Compatible Non-Volatile SRAM Based Ultra-Low Leakage Energy Hybrid Memory System

2016 ◽  
Vol 65 (4) ◽  
pp. 1055-1067 ◽  
Author(s):  
Jinhui Wang ◽  
Lina Wang ◽  
Haibin Yin ◽  
Zikui Wei ◽  
Zezhong Yang ◽  
...  
Keyword(s):  
Cmos Technology ◽  
Memory System ◽  
Hybrid Memory ◽  
Low Leakage

PRO: A periodical reset optimized page migration scheme for hybrid memory system

2020 ◽  
Vol 111 ◽  
pp. 101786
Author(s):  
Na Niu ◽  
Fangfa Fu ◽  
Bing Yang ◽  
Jiacai Yuan ◽  
Fengchang Lai ◽  
...  
Keyword(s):  
Memory System ◽  
Hybrid Memory ◽  
Page Migration

Inplementation of an Efficient Parallel Multilevel Fast Multipole Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 4268-4272
Author(s):  
You Feng Chen ◽  
Dong Lin Su ◽  
Xiao Ying Zhao ◽  
Dan Dan Guo ◽  
Li Peng Deng
Keyword(s):  
Shared Memory ◽  
High Frequency ◽  
Large Scale ◽  
Memory System ◽  
Method Of Moment ◽  
Fast Multipole ◽  
Multilevel Fast Multipole Algorithm ◽  
Shared Memory System ◽  
Fast Multipole Algorithm

This paper is concerned with the implementation of the parallel multilevel fast multipole algorithm(MLFMA) for large scale electromagnetics simulation on shared-memory system. The algorithm is implemented on a method of moment discretisation of the electromagnetics scattering problems.The developed procesure is validated by compared to benchmarks defined by Electromagnetics Code Consortium(EMCC) .The procesure can evaluate large problemssuch as electromagnetics scattering of aircraft at high-frequency with up to several millions of unknowns.

Visualizing Large-Scale Streaming Applications

2009 ◽  
Vol 8 (2) ◽  
pp. 87-106 ◽  
Author(s):  
Wim De Pauw ◽  
Henrique Andrade
Keyword(s):  
Performance Optimization ◽  
Capacity Planning ◽  
Large Scale ◽  
Stream Processing ◽  
Trading Systems ◽  
Streaming Applications ◽  
Computing Paradigm ◽  
Management Of Resources ◽  
Real Time Visualization ◽  
Adaptive Nature

Stream processing is a new and important computing paradigm. Innovative streaming applications are being developed in areas ranging from scientific applications (for example, environment monitoring), to business intelligence (for example, fraud detection and trend analysis), to financial markets (for example, algorithmic trading systems). In this paper we describe Streamsight, a new visualization tool built to examine, monitor and help understand the dynamic behavior of streaming applications. Streamsight can handle the complex, distributed and large-scale nature of stream processing applications by using hierarchical graphs, multi-perspective visualizations, and de-cluttering strategies. To address the dynamic and adaptive nature of these applications, Streamsight also provides real-time visualization as well as the capability to record and replay. All these features are used for debugging, for performance optimization, and for management of resources, including capacity planning. More than 100 developers, both inside and outside IBM, have been using Streamsight to help design and implement large-scale stream processing applications.

Alovera: A Fast Stream Processing System for Large-Scale Data

2013 ◽  
Author(s):  
Zhen'an Zhang ◽  
Dongjie Zhang ◽  
Xiaopeng Yu ◽  
Jing Wang ◽  
Chunjiang He ◽  
...  
Keyword(s):  
Large Scale ◽  
Stream Processing ◽  
Processing System ◽  
Large Scale Data ◽  
Scale Data
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