Hello All
We are pleased to announce the publication of IMSuite manuscript at the Journal
of Parallel and Distributed Computing (JPDC). Please feel free to check and
download the paper from: http://authors.elsevier.com/a/1Q5FS2f6jyiqfm
Abstract:
Considering the diverse nature of real-world distributed applications that
makes it hard to identify a representative subset of distributed benchmarks, we
focus on their underlying distributed algorithms. We present and characterize a
new kernel benchmark suite (named IMSuite) that simulates some of the classical
distributed algorithms in task parallel languages. We present multiple
variations of our kernels, broadly categorized under two heads: (a) varying
synchronization primitives (with and without fine grain synchronization
primitives); and (b) varying forms of parallelization (data parallel and
recursive task parallel). Our characterization covers interesting aspects of
distributed applications such as distribution of remote communication requests,
number of synchronization, task creation, task termination and atomic
operations. We study the behavior (execution time) of our kernels by varying
the problem size, the number of compute threads, and the input configurations.
We also present an involved set of input generators and output validators.
Bibtex Entry:
@article{Gupta20151,
title = "IMSuite: A benchmark suite for simulating distributed algorithms ",
journal = "Journal of Parallel and Distributed Computing ",
volume = "75",
number = "0",
pages = "1 - 19",
year = "2015",
note = "",
issn = " 0 743-7315 ",
doi = " http://dx.doi.org/10.1016/j.jpdc.2014.10.010 ",
url = " http://www.sciencedirect.com/science/article/pii/S0743731514002032 ",
author = "Suyash Gupta and V. Krishna Nandivada",
keywords = "Benchmarks",
keywords = "Distributed algorithms",
keywords = "Performance evaluation",
keywords = "Task parallelism",
keywords = "Data parallelism",
keywords = "Recursive task parallelism "
}
--
Regards
Suyash Gupta
Dept. of Computer Science
IIT Madras
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