Browsing by Subject "Computer hardware description languages"

Now showing 1 - 3 of 3

Open Access
River: an intermediate language for stream processing
(John Wiley & Sons Ltd., 2016) Soulé R.; Hirzel M.; Gedik, B.; Grimm, R.
Summary This paper presents both a calculus for stream processing, named Brooklet, and its realization as an intermediate language, named River. Because River is based on Brooklet, it has a formal semantics that enables reasoning about the correctness of source translations and optimizations. River builds on Brooklet by addressing the real-world details that the calculus elides. We evaluated our system by implementing front-ends for three streaming languages, and three important optimizations, and a back-end for the System S distributed streaming runtime. Overall, we significantly lower the barrier to entry for new stream-processing languages and thus grow the ecosystem of this crucial style of programming.
Open Access
SPL: an extensible language for distributed stream processing
(Association for Computing Machinery, 2017) Hirzel M.; Schneider S.; Gedik, B.
Big data is revolutionizing how all sectors of our economy do business, including telecommunication, transportation, medical, and finance. Big data comes in two flavors: data at rest and data in motion. Processing data in motion is stream processing. Stream processing for big data analytics often requires scale that can only be delivered by a distributed system, exploiting parallelism on many hosts and many cores. One such distributed stream processing system is IBM Streams. Early customer experience with IBM Streams uncovered that another core requirement is extensibility, since customers want to build high-performance domain-specific operators for use in their streaming applications. Based on these two core requirements of distribution and extensibility, we designed and implemented the Streams Processing Language (SPL). This article describes SPL with an emphasis on the language design, distributed runtime, and extensibility mechanism. SPL is now the gateway for the IBM Streams platform, used by our customers for stream processing in a broad range of application domains. © 2017 ACM.
Open Access
Test case verification by model checking
(Kluwer Academic Publishers, 1993) Naik, K.; Sarikaya, B.
Verification of a test case for testing the conformance of protocol implementations against the formal description of the protocol involves verifying three aspects of the test case: expected input/output test behavior, test verdicts, and the test purpose. We model the safety and liveness properties of a test case using branching time temporal logic. There are four types of safety properties: transmission safety, reception safety, synchronization safety, and verdict safety. We model a test purpose as a liveness property and give a set of notations to formally specify a test purpose. All these properties expressed as temporal formulas are verified using model checking on an extended state machine graph representing the composed behavior of a test case and protocol specification. This methodology is shown to be effective in finding errors in manually developed conformance test suites. © 1993 Kluwer Academic Publishers.