Speaker

Emery Berger

Emery Berger

Professor, University of Massachusetts Amherst

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Emery Berger is a Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, the flagship campus of the UMass system. He graduated with a Ph.D. in Computer Science from the University of Texas at Austin in 2002. Professor Berger has been a Visiting Scientist at Microsoft Research and at the Universitat Politècnica de Catalunya (UPC) / Barcelona Supercomputing Center (BSC). Professor Berger’s research spans programming languages, runtime systems, and operating systems, with a particular focus on systems that transparently improve reliability, security, and performance. He and his collaborators have created a number of influential software systems including Hoard, a fast and scalable memory manager that accelerates multithreaded applications (used by companies including British Telecom, Cisco, Crédit Suisse, Reuters, Royal Bank of Canada, SAP, and Tata, and on which the Mac OS X memory manager is based); DieHard, an error-avoiding memory manager that directly influenced the design of the Windows 7 Fault-Tolerant Heap; DieHarder, a secure memory manager that was an inspiration for hardening changes made to the Windows 8 heap, and Coz, a "causal profiler" that ships with modern Linux distros.

His honors include a Microsoft Research Fellowship, an NSF CAREER Award, a Lilly Teaching Fellowship, the Distinguished Artifact Award for PLDI 2014, the Most Influential Paper Award at OOPSLA 2012, the Most Influential Paper Award at PLDI 2016, the ASPLOS 2019 Influential Paper Award, four CACM Research Highlights, a Google Research Award, a Microsoft SEIF Award, and Best Paper Awards at FAST, OOPSLA, and SOSP; he was named an ACM Fellow in 2019. Professor Berger is currently serving his second term as an elected member of the SIGPLAN Executive Committee; he served for a decade (2007-2017) as Associate Editor of the ACM Transactions on Programming Languages and Systems, was Program Chair for PLDI 2016, and is co-Program Chair of ASPLOS 2021.

Scalene: Scripting-Language Aware Profiling for Python

Scalene is a high-performance CPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than other profilers while delivering far more detailed information.

Attendees will learn the ins and outs of using a new profiler, Scalene, which provides Python developers with unprecedented insight into what their programs are doing and where they should focus their optimization efforts.

More information on Scalene is available here: https://github.com/emeryberger/scalene

Emery Berger

Professor, University of Massachusetts Amherst

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