
The purpose of this workshop is to bring together practitioners, researchers, vendors, and scholars from the complementary fields of computational finance and high performance computing, in order to promote an exchange of ideas, discuss future collaborations and develop new research directions. Financial companies increasingly rely on high performance computers to analyze high volumes of financial data, automatically execute trades, and manage risk. As financial market data continues to grow in volume and complexity, and algorithmic trading becomes increasingly popular, there is increased demand for computational power. Recent events in the world economy have demonstrated a great need for better models and tools to perform risk analysis and risk management. Therefore, we are selecting risk management as a focus area for the 2009 workshop.
We seek contributions with a systems-oriented view of the problem. In addition to submissions that cover aspects of theory and algorithms, we also encourage submissions that deal with more practical and infrastructure aspects. From that perspective, topics of interest to this workshop include, but are not restricted to:
Submitted papers must be no more than 8 pages in length. Authors are
encouraged to use ACM two
column format. Each submission will receive at least three reviews and
authors of selected submissions will have 30 minutes to present their work at
the workshop. Papers should be submitted in electronic form to
David Daly,
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Time |
Session |
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9:00 - 10:00 |
Introduction and Keynote 1 |
|
|
Jorge Nocedal (Northwestern University) |
KEYNOTE
1: Fast and
Parallel Algorithms for Pricing American Options |
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10:00 - 10:30 |
Break |
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10:30 - 12:00 |
Invited Talks |
|
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David Leinweber (UC Berkeley) |
KEYNOTE
2: Tech and the
Wreck: 2008 |
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Alan King
(IBM) |
INVITED: Requirements for Systemic Risk
Management in the |
|
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12:00 - 1:30 |
Lunch |
|
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1:30 - 3:00 |
Keynote 2 + Papers 1 |
|
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Timothy J. Williams (Argonne National Laboratory) |
KEYNOTE
3: Distributed
Calculations on Fixed-Income Securities |
|
|
Matthew
Dixon, Jike Chong, and Kurt Keutzer |
Acceleration of Market Value-at-Risk Estimation |
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3:00 - 3:30 |
Break |
|
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3:30 - 5:30 |
Papers 2 |
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Abhijeet Gaikwad and Ioane
Muni Toke |
GPU based
sparse grid combination technique for pricing multidimensional options |
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|
Xiaolan J. Zhang, Henrique Andrade, Buğra
Gedik, Richard King, John Morar,
Senthil Nathan, Yoonho
Park, Raju Pavuluri,
Edward Pring, Randall Schnier,
Philippe Selo, Michael Spicer, and Chitra Venkatramani |
Implementing
a High-Volume, Low-Latency Market Data Processing System on Commodity
Hardware using IBM Middleware |
|
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C. Bekas, A. Curioni, and I. Fedulova |
Low Cost
High Performance Uncertainty Quantification |
|
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Mukul Majmudar, Ciprian
Docan, Manish Parashar,
and Christopher Marty |
Cost vs.
Performance of VaR on Accelerator Platforms |
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