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April 11, 2011 - PESPMA 2011 (4th Workshop on Parallel Execution of Sequential Programs on Multi-core Architectures)

4th Workshop on Parallel Execution of Sequential Programs on Multi-core Architectures (PESPMA 2011) June 5, 2011 San Jose, California In conjunction with the 38th International Symposia on Computer Architecture (ISCA) http://cccp.eecs.umich.edu/pespma
When Apr 11, 2011
from 12:00 AM to 11:00 PM
Where San Jose, California
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CALL FOR EXTENDED ABSTRACTS

 

4th Workshop on Parallel Execution of Sequential Programs on Multi-core Architectures (PESPMA 2011)

June 5, 2011   San Jose, California

In conjunction with the 38th International Symposia on Computer Architecture (ISCA)

http://cccp.eecs.umich.edu/pespma

 

Key Dates

Apr 11, 2011: Abstract submission deadline

Apr 29, 2011: Acceptance Notification

May 9, 2011: Final version ready

 

Multi-core architectures have started a new era of computing and boost performance and efficiency of parallel programs, however most of existing application base is still composed of sequential applications. How to execute those sequential programs efficiently and reliably on multi-core is remaining a critical and challenge problem. Multi-core architectures usually have many weaker cores compared to a monolithic out-of-order core, however, the aggregation of many small cores provides better computing and power efficiency than the monolithic one. To fully leverage this multi-core opportunity, a set of new tools, compiler optimizations, micro-architecture mechanisms and programming models is expected.

 

In this workshop, we focus on leveraging the computing power provided by multi-core to address the issues of performance, power, programming model and reliability etc. for sequential programs which are executed on homogenous or heterogeneous multi-core.  The topics of particular interest include, but not limited to:

 

* Speculative program execution (e.g. speculative multithreading, speculative vectorization, speculative optimizations)

* Deterministically execute sequential programs in parallel

* Deterministic multi-core execution versus parallel execution of sequential programs

* Helper threading techniques (e.g. prefetch helper, verification helper)

* Automatic/semi-automatic/manual parallelization/vectorization techniques

* Reliability improvement on multi-core for sequential programs

* Power/thermal optimizations on multi-core for sequential programs

* Compiler optimizations and transformations to help single thread execution

* Binary translation/optimization to help single thread execution

* Evaluation of performance, power/thermal and reliability of sequential programs on multi-core (v.s., monolithic core)

* Trade-offs between speculation and non-speculation techniques

* Frameworks and tools for sequential execution model aimed for homogenous or heterogeneous multi-core

* Micro-architecture support for sequential program execution on multi-core

* Novel sequential programming models and support

 

The workshop also aims at providing a forum for researchers and engineers from academia and industry to discuss their latest research in computer architecture, compiler, programming language on sequential program execution on multi-core. Moreover, it will bring more attention of their ideas, research problems and new proposals and obtain valuable and instant feedback from fellow researchers.

 

Submission guidelines

Submissions should be extended abstracts or position papers of 3-5 pages, double-column, in 11-point font. Include the list of authors and their affiliations, email addresses and the name of the corresponding author. For submission instructions, see the above website.

 

Co-Chairs

Wei Liu (wei.w.liu@intel.com), Intel Corporation

Scott Mahlke (mahlke@umich.edu), University of Michigan

Tin-fook Ngai (tin-fook.ngai@intel.com), Intel Labs

 

Program Committee

David Albonesi, Cornell University

David August, Princeton University

Koen De Bosschere, Ghent University

Calin Cascaval, Qualcomm Research

Albert Cohen, INRIA Saclay

Carol Eidt, Microsoft

Xiaobing Feng, Institute of Computing Technology, China

Rajiv Gupta, University of California Riverside

Robert Hundt, Google

Manjunath Kudlur, NVIDIA Corporation

Satish Narayanasamy, University of Michigan

Rodric Rabbah, IBM Research

Youfeng Wu, Intel Labs

James Tuck, North Carolina State University

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