http://ewh.ieee.org/conf/whpcf

Call
for Participation
We cordially invite you to submit a
paper to the 6th Workshop on High Performance Computational Finance (WHPCF’13)
at SC13. The workshop will be held at the SC13 International Conference for
High Performance Computing, Networking, Storage and Analysis in Denver. Recent years have seen the dramatic
increase in compute capabilities across variety of systems. The systems have
also become more complex with trends towards heterogeneous systems consisting
of general-purpose cores and acceleration devices.
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, computational capabilities of emerging
hardware also increases. Extracting high performance from emerging architectures
requires a combination of domain knowledge and specialized technical skills.
The workshop will explore how researchers, scholars, vendors and practitioners
are collaborating to address high performance computing research challenges.
We seek submissions that cover
various aspects of computational finance. In addition to submissions that deal
with performance and programmability challenges, theoretical analysis,
algorithms, and practical experience in computational finance, we also
particularly encourage submissions that demonstrate or result from the
collaboration between financial practitioners, and scholars, researchers, or
vendors. Topics of interest to this workshop include, but are not restricted
to:
·
Financial
libraries and run-times
·
Use of hardware
accelerators (FPGA, Cell, GPUs) in computational finance
·
Use of
heterogeneous hardware in computational finance
·
Financial
applications of high performance computing: risk algorithms, derivative
pricing, algorithmic trading, arbitrage
·
High-bandwidth/low-latency
streaming of market data
·
Cluster computing
for computational finance
·
Financial data
center engineering
·
Computational
algorithms for finance
·
Move from
capacity to capability computing in financial applications
Submitted papers must be no more
than 8 pages in length. Authors are encouraged to use IEEE two
column format. Each
submission will receive at least three reviews from the technical program
committee and authors of selected submissions will have 30 minutes to present
their work at the workshop. Papers should be submitted in electronic form to
dmdaly@us.ibm.com.
Matthew Dixon (HedgeFacts and University of San Francisco), David Daly and Jose Moreira (IBM Thomas J. Watson Research Center)