DIMACS Workshop on Parallelism: A 2020 Vision
March 14 - 16, 2011
DIMACS Center, CoRE Building, Rutgers University, Piscataway, NJ
- Organizers:
- Phil Gibbons, Intel
- Howard Karloff, AT & T Research, howard at research.att.com
- Sergei Vassilvitskii, Yahoo! Research
Presented under the auspices of the DIMACS Special Focus on Algorithmic Foundations of the Internet.
Slides:
- Foto Afrati, National Technical University of Athens
Cluster Computing, Recursion and Datalog
- Werner Backes, Stevens Institute
Lattice Basis Reduction and Multi-Core
- Graham Cormode, ATT Labs-Research
Distributed Summaries
- Jonathan Eckstein, Rutgers University
A Survey of Parallelism in Solving Numerical Optimization and Operations Research Problems
- James Edwards, University of Maryland
Can PRAM Graph Algorithms Provide Practical Speedups on Many-Core Machines?
- Mike Goodrich, UC Irvine
Sorting, Searching, and Simulation in the MapReduce Framework
- John Kubiatowicz, UC Berkeley
Locally Limited but Globally Unbounded:
Dealing with Resources in an Explicitly Parallel World
- John Langford, Yahoo! Research
A Summary of Parallel Learning Efforts
- S. Muthu Muthukrishnan, Rutgers University
Mapreduce With Parallelizable Reduce
- Jeffrey Oldham, Google
Experiences Scaling Use of Google's Sawzall
- Kunle Olukotun, Stanford
Taming Heterogeneous Parallelism with Domain Specific Languages
- Vijaya Ramachandran, University of Texas
Resource Oblivious Parallel Computing
- Alejandro Salinger, University of Waterloo
Theoretical Modeling of Multicore Computation
- Tamas Sarlos, Yahoo! Research
On Scheduling in Map-Reduce and Flow-Shops
- Gokarna Sharma, Louisiana State University
Scalable Transactional Memory Scheduling
- Marc Snir, University of Illinois
The Post-Moore Era and Exascale Computing: On the Need for New Foundations
- Sid Suri, Yahoo! Research
Counting Triangles and the Curse of the Last Reducer
- Kanat Tangwongsan, Carnegie-Mellon University
Efficient Parallel Approximation Algorithms: What We Learn From Facility Location
- Philippas Tsigas, Chalmers University, Sweden
Design Challenges for Scalable Concurrent Data Structures
- Uzi Vishkin, University of Maryland
From Asymptotic PRAM Speedups To Easy-To-Obtain Concrete XMT Ones
Workshop Index
DIMACS Homepage
Contacting the Center
Document last modified on March 23, 2011.