NDLI: Scalable Time Warp on Blue Gene Supercomputers

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An Approach for Validation of Semantic Composability in Simulation Models

Symbiotic Simulation Model Validation for Radiation Detection Applications

Causal Program Slicing

A Performance Evaluation of the Lightweight Time Warp Protocol in Optimistic Parallel Simulation of DEVS-Based Environmental Models

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Di-DyMeLoR: Logging only Dirty Chunks for Efficient Management of Dynamic Memory Based Optimistic Simulation Objects

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Modeling the Internet Routing Topology - In Less than 24h

Parallelizing SystemC Kernel for Fast Hardware Simulation on SMP Machines

Hardware Supported Time Synchronization in Multi-core Architectures

GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios

An Efficient and Adaptive Mechanism for Parallel Simulation Replication

Using REST Web-Services Architecture for Distributed Simulation

On Determining How Many Computers to Use in Parallel VLSI Simulation

Communication-Efficient Support for Spatial Filtering of State Updates in Distributed Virtual Environments

Efficient Zone Mapping Algorithms for Distributed Virtual Environments

Efficient Master/Worker Parallel Discrete Event Simulation

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Scalable Time Warp on Blue Gene Supercomputers

Content Provider	ACM Digital Library
Author	Bauer, David W. Holder, Akintayo Carothers, Christopher D.
Abstract	n this paper we illustrate scalable parallel performance for the TimeWarp synchronization protocol on the L and P variants of the IBM BlueGene supercomputer. Scalable Time Warp performance for models that communicate a large percentage of the event population over the network has not been shown on more than a handful of processors. We present our design for a robust performing Time Warp simulator over a variety of communication loads, and extremely large processor counts-- up to 131,072. For the PHOLD benchmark model using 65,536 processors, our Time Warp simulator produces a peak committed event-rate of 12.26 billion events per second at 10\% remote events and 4 billion events per second at 100\% remote events, the largest ever reported. Additionally, for the Transmission Line Matrix (TLM) model which approximates Maxwell's equations for electromagnetic wave propagation, we report a committed event-rate in excess of 100 million on 5,000 processors with 200 million grid-LPs. The TLM model is particularly challenging given the bursty and cubic growth in event generation. Overall, these performance results indicate that scalable Time Warp performance is obtainable on high-processor counts over a wide variety of event scheduling behaviors and not limited to relatively low, non-bursty rates of off-processor communications.
Starting Page	35
Ending Page	44
Page Count	10
File Format	PDF
ISBN	9780769537139
ISSN	10874097
DOI	10.1109/PADS.2009.21
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-22
Access Restriction	Subscribed
Subject Keyword	Time warp blue gene supercomputer
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Scalable Time Warp on Blue Gene Supercomputers

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