M
Martin Hirzel
Researcher at IBM
Publications - 133
Citations - 4866
Martin Hirzel is an academic researcher from IBM. The author has contributed to research in topics: Stream processing & Compiler. The author has an hindex of 30, co-authored 124 publications receiving 4498 citations. Previous affiliations of Martin Hirzel include Microsoft & Purdue University.
Papers
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Proceedings ArticleDOI
The DaCapo benchmarks: java benchmarking development and analysis
Stephen M. Blackburn,Robin Garner,Chris Hoffmann,Asjad M. Khang,Kathryn S. McKinley,Rotem Bentzur,Amer Diwan,Daniel Feinberg,Daniel Frampton,Samuel Z. Guyer,Martin Hirzel,Antony L. Hosking,Maria Jump,Han Lee,J. Eliot B. Moss,Aashish Phansalkar,Darko Stefanovic,Thomas VanDrunen,Daniel von Dincklage,Ben Wiedermann +19 more
TL;DR: This paper recommends benchmarking selection and evaluation methodologies, and introduces the DaCapo benchmarks, a set of open source, client-side Java benchmarks that improve over SPEC Java in a variety of ways, including more complex code, richer object behaviors, and more demanding memory system requirements.
Journal ArticleDOI
A catalog of stream processing optimizations
TL;DR: A survey of optimizations for stream processing, in a style similar to catalogs of design patterns or refactorings, to help future streaming system builders to stand on the shoulders of giants from not just their own community.
Journal ArticleDOI
Elastic Scaling for Data Stream Processing
TL;DR: This article proposes an elastic auto-parallelization solution that can dynamically adjust the number of channels used to achieve high throughput without unnecessarily wasting resources and can handle partitioned stateful operators via run-time state migration, which is fully transparent to the application developers.
Proceedings ArticleDOI
Dynamic hot data stream prefetching for general-purpose programs
Trishul Chilimbi,Martin Hirzel +1 more
TL;DR: The initial results from applying dynamic prefetching are promising, indicating overall execution time improvements of 5.19% for several memory-performance-limited SPECint2000 benchmarks running their largest inputs.
Journal ArticleDOI
Wake up and smell the coffee: evaluation methodology for the 21st century
Stephen M. Blackburn,Kathryn S. McKinley,Robin Garner,Chris Hoffmann,Asjad M. Khan,Rotem Bentzur,Amer Diwan,Daniel Feinberg,Daniel Frampton,Samuel Z. Guyer,Martin Hirzel,Antony L. Hosking,Maria Jump,Han Lee,J. Eliot B. Moss,Aashish Phansalkar,Darko Stefanovik,Thomas VanDrunen,Daniel von Dincklage,Ben Wiedermann +19 more
TL;DR: The consequences of the authors' collective inattention to methodology on innovation are explored, recommendations for addressing this problem in one domain are made, and guidelines for other domains are provided.