NDLI: WormBench: a configurable workload for evaluating transactional memory systems

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WormBench: a configurable workload for evaluating transactional memory systems

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WormBench: a configurable workload for evaluating transactional memory systems

Content Provider	ACM Digital Library
Author	Ayguade, Eduard Harris, Tim Unsal, Osman Zyulkyarov, Ferad Cristal, Adrian Cvijic, Sanja Valero, Mateo
Abstract	Transactional Memory (TM) is a promising new technology that makes it possible to ease writing multi-threaded applications. Many different TM implementations exist, unfortunately most of those TM systems are currently evaluated by using workloads that are (1) tightly coupled to the interface of a particular TM implementation, (2) are small and lack to capture the common concurrency problems that exist in real multi-threaded applications and also (3) fail to evaluate the overall behavior of the Transactional Memory considering the complete software stack. WormBench is parameterized workload designed from the ground up to evaluate TM systems in terms of robustness and performance. Its goal is to provide an unified solution to the problems stated above (1, 2, 3). The critical sections in the code are marked with the atomic statements and thus proving a framework to test the compiler's ability to translate them properly and efficiently into the appropriate TM system interface. Its design considers the common synchronization problems that exist in TM multi-threaded applications. The behavior of WormBench can be changed by using run configurations which provide the ability to reproduce a runtime behavior observed in a typical multi-threaded application or a behavior that stresses a particular aspect of the TM system such as abort handling. In this paper, we analyze the transactional characteristics of WormBench by studying different run configurations and demonstrate how Worm-Bench can be configured to model the transactional behavior of an application from the STAMP benchmark suite.
Starting Page	61
Ending Page	68
Page Count	8
File Format	PDF
ISBN	9781605582436
DOI	10.1145/1509084.1509093
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-26
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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