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Martha KimAssistant Professor Department of Computer Science Columbia University
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E-mail: Office: Phone: Fax:
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firstname@cs.columbia.edu 469 Computer Science Building (212) 939-7094 (212) 666-0140
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Mail:
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1214 Amsterdam Avenue Mail Code 0401 New York, NY10027
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Brief Bio
Martha Kim is an Assistant Professor of Computer Science at Columbia
University where she leads the ARCADE Lab. Kim's research
interests are in computer architecture, parallel programming, compilers,
and low-power computing. Her work has explored low-cost chip
manufacturing systems, reconfigurable communication networks, and
fine-grained parallel application profiling techniques. Her current
research focuses on hardware and software techniques to improve the
usability of hardware accelerators as well as data-centric accelerator
design. Kim holds a PhD in Computer Science and Engineering from the
University of Washington and a bachelors in Computer Science from Harvard
University. She is the recipient of the 2013
Rodriguez Family Award in recognition of the research achievements of
underrepresented junior faculty and a 2013 NSF CAREER award.
Research Group
- Van Bui
(PhD)
- Lianne Lairmore
(PhD)
- Lisa Wu
(PhD)
- Andrea Lottarini
(PhD)
- Melanie Kambadur
(PhD)
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- Thomas Ramps
(MS 2011)
- Harsh Parekh
(MS 2009)
- Roopa Kakarlapudi
(MS 2009)
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- Yunsung Kim
(BS 2016)
- Kui Tang
(BS 2014)
- Tim Paine
(BS 2014)
- RJ Barker
(BS 2012)
- Monica Ramirez
(BS 2011)
- Elba Garza
(BS 2011)
- Vladimir Shtokman
(BS 2011)
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Richard Sampson
(BS 2010)
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Select Recent Publications
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Navigating Big Data with High-Throughput, Energy-Efficient Data Partitioning,
ISCA 2013.
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Parallel Scaling Properties from a Basic Block View,
To appear in SIGMETRICS (Poster) 2013.
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Collection, Analysis, and Uses of Parallel Block Vectors,
To appear in Top Picks 2013.
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Measuring Interference Between Live Datacenter Applications,
SC 2012.
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Harmony: Collection and Analysis of Parallel Block Vectors,
ISCA 2012.
Top Picks in Computer Architecture Selection.
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Cache Impacts of Datatype Acceleration,
CAL 2011.
Best of CAL 2011; CAL Spotlight Paper (January-June 2012 Issue).
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Energy Exceptions: A Software Approach to Energy Enforcement,
ASPLOS .
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Q100: The Design and Implementation of a Database Processing Unit,
ASPLOS .
Information for Prospective Students
Due to the large quantity of email from prospective students, I cannot
always respond personally to students who are not enrolled or admitted
to Columbia.
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PhD:
The ARCADE Lab is looking
for qualified PhD students, who recieve full financial support for the
duration of their PhD. The group's recent publications
capture the themes of our research. If these or related topics interest
you, you may complete an application here.
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MS:
If you are interested in the MS program in Computer
Science or Computer
Engineering, both programs provide comprehensive FAQs and application information.
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Intern:
We do not take on interns regardless of funding situation.