David Black-Schaffer
professor at Department of Information Technology, Division of Computer Systems
- Email:
- david.black-schaffer[AT-sign]it.uu.se
- Telephone:
-
+4618-471 6830
- Mobile phone:
-
+46 76 8242017
- Visiting address:
- Room
ITC 1240 ITC, Lägerhyddsv. 2, hus 1
- Postal address:
- Box 337
751 05 UPPSALA
Short presentation
I investigate modeling and measuring the effects of shared memory resources (caches and off-chip bandwidth) in multicore processors on power and performance. My work addresses both theoretical models and techniques for measuring actual behavior on real systems. Currently I am applying these techniques to improve task scheduling on heterogeneous systems, to predict power and performance, and to develop smart memory systems.
Also available at
Biography
I received my PhD in Electrical Engineering from Stanford University in 2008. My PhD thesis was on programming for real-time embedded processing on many-core processors
in the Concurrent VLSI Architecture Group working with William Dally. After my PhD I worked at Apple on the development of the first OpenCL implementation for heterogeneous parallel processing across CPUs and GPUs, and then as a postdoc researcher in computer architecture in the Dept. of Information Technology at Uppsala University. I was appointed assistant professor in 2010 in the architecture research group at Uppsala looking at parallel programming systems and optimizations as part of the UPMARC research project. In 2014 I was promoted to associate professor (docent, lektor).
In addition to research, I lead the ScalableLearning project to bring the benefits of active, flipped-classroom teaching to thousands of students in Sweden and abroad.
Grants and Awards
- European Research Council ERC Starting Grant (2017-2022)
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Uppsala University Pedaogical Prize (2016)
- Swedish Foundation for Strategic Research (SSF), Smart Systems Framework Grant (Co-PI, 2016-2021) Automating System SpEcific Model-Based LEarning (ASSEMBLE)
- Knut and Alice Wallenberg Foundation, Wallenberg Academy Fellow (2016-2021)
- Swedish Research Council (VR), Young Researcher Project Grant (2015-2018)
- Swedish Foundation for Strategic Research (SSF), Future Research Leaders (2013-2018)
- EU FP7, Addressing Energy in Parallel Technologies (Co-PI 2013-2016)
- Uppsala University, Pedagogical Development Grant for Flipped Classroom (2013)
- Swedish Research Council (VR), Framework Grant (Co-PI, 2012-2017)
- Uppsala Union of Engineering and Science Students, Teaching Award (2012)
- Stanford University, Centennial Teaching Assistant Award (2004)
- Stanford University, Hugh Hildreth Skilling Teaching Assistant Award (2003)
Teaching
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Computer Architecture 1 (To view the interactive online course lectures, register at ScalableLearning and join with the enrollment key YRLRX-25436.)
- Sample: Introduction to Digital Logic Design (88 minutes)
- Sample: Introduction to Virtual Memory (70 min)
- Sample: Introduction to Digital Logic Design
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Parallel Programming for Efficiency (MSc level)
- Sample: Power and Energy in Computer Systems (52 min)
- Sample: Power and Energy in Computer Systems
- Introduction to Computer Architecture Research (PhD level)
Presentations
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Predicting Next-Generation Multicore Performance in a Fraction of a Second (Keynote, SICS Multicore Day, 2015)
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GPUs: The Hype, The Reality, and the Future (Keynote, SICS Multicore Day, 2013) PDF (2011)
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Flipped Classroom Teaching in an Introductory CS Course (KTH, 2013) PDF
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Resource Sharing in Multicore Processors (Keynote, Ericsson Software Research Day 2011)
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Introduction to OpenCL PDF
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Optimizing OpenCL PDF
- GPU Architectures for Non-Graphics People PDF
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