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Financial Derivatives in Grid Computing and Beyond. Presented by Jonatan Gonzalez Melita Jaric. Overview. Jonatan Gonzalez introduction Project Overview Intermixing Finance and Computer Science Global Connections and REU Goals Jonatan Gonzalez Presentation REU Benefits

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financial derivatives in grid computing and beyond

Financial Derivatives in Grid Computing and Beyond

Presented by

Jonatan Gonzalez

MelitaJaric

overview
Overview
  • Jonatan Gonzalez introduction
  • Project Overview
  • Intermixing Finance and Computer Science
  • Global Connections and REU Goals
  • Jonatan Gonzalez Presentation
  • REU Benefits
  • Boost /MPI / Timing
  • What’s Next?
jonatan gonzalez
Jonatan Gonzalez
  • Introduction
  • REU Benefits
  • Global Connection
  • Overview of Project
  • Boost
  • MPI
  • Excel
  • Timing
introduction benefits and global connections
Introduction, Benefits and Global Connections
  • Senior undergraduate student
  • Future direction
  • Resume building
  • Exposure to applications and current trends in industry
  • Exposure to different working cultures and communication environments
project overview from a software designer
Project Overview from a Software Designer
  • Financial vocabulary:
    • Stock Options
    • Puts: exercise max(E-S(T), O)
    • Calls: exercise max(S(T)-E, O)
    • Hedge style: European, American, Asian
    • Interest rate
    • Volatility
    • Greeks – Derivatives with respect to time, price and volatility, interest rate
    • Randomness, risk (un)predictability
non functional requirements
Non Functional Requirements
  • Precision
  • Efficiency
  • Reliability
  • Security
  • Scalability
software tools
Software Tools
  • C++/Java
  • STL / Boost
  • Threads
  • MPI
  • Grid
  • Cloud Computing
where are we now
Where are we now?
  • Time Sequential Code
  • Why?
  • Parallelization overhead
  • Why time all of the methods separately?
  • Timing Issues
timing table
Timing Table
  • Negative Numbers indicate overflow
  • This is solved by a simple calculation
  • -760.027 becomes 3534.9403
  • -2438.15 becomes 1856.8173
timing explained
Timing Explained
  • Clock_t is 32 bit unsigned, with maxValue=0xffffffff
  • Measures number of CPU clock cycles since the start of the program
  • Negative numbers indicate the following sequence of events: start_timefollowd by clock_tgoing over maxValuefollowed by end_time.
  • In this case:

time_diff = maxValue-start_time+end_time

what s next
What’s Next?
  • Finish timing all the models in sequential code
  • Port code into Grid
  • Time in Grid
  • Multithread the code
  • Time / understand / predict parallelization overhead
  • Experiment with MapReduce
  • Experiment with Cloud computing