3. Work Organization

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bibbidy N-BObbiDY boo at NECST

bibbidy N-BObbiDY boo - Magic Acceleration of N-Body Simulation

bibbidi N-BObbiDY boo
Magic Acceleration of N-Body Simulation
E. Del Sozzo, M. Rabozzi, M. Nanni, M. D. Santambrogio
emanuele.delsozzo@polimi.it
marco.rabozzi@polimi.it
marco3.nanni@mail.polimi.it
marco.santambrogio@polimi.it
Xilinx Open Hardware 2017 Contest

Gantt Chart 2

Milestone chart 3

SWOT Analysis 4
S W O T
STRENGTHS WEAKNESSES OPPORTUNITIES THREATS

Strengths 5
• Highly energy-efficient, cost-effective implementation
of All-Pairs n-body simulation on FPGA
S W O T
• One algorithm for multiple domains: molecular
dynamics, astronomy, fluid dynamics

Weaknesses 6
• Special n-body system configurations allow the usage of
simulation algorithms faster than the All-Pairs one
S W O T
but…

Opportunities 7
• Allow data scientists to perform faster simulations
at low cost
S W O T
• Approach extensible to target large physical
systems by leveraging multi-node architectures
• These fast algorithms have All-Pairs
implementation as kernel computation

Threats 8
• An increasing demand for high performance n-body
simulation might decrease the cost of ASIC
solutions
S W O T

Thanks for your attention 9
Bibbidi N-Bobbidy boo at NECST
(https://www.facebook.com/BibbidiNBobbidyboo/)
Bibbidy N-BObbiDY boo at NECST
(https://www.slideshare.net/bibbidyN-BObbiDYboo)
Emanuele Del Sozzo
emanuele.delsozzo@polimi.it
Marco Rabozzi
marco.rabozzi@polimi.it
Marco Nanni
marco3.nanni@mail.polimi.it
Marco D. Santambrogio
marco.santambrogio@polimi.it
@N_BodyAtNECST
(https://twitter.com/N_BodyAtNECST)

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3. Work Organization

1. bibbidi N-BObbiDY boo Magic Acceleration of N-Body Simulation E. Del Sozzo, M. Rabozzi, M. Nanni, M. D. Santambrogio emanuele.delsozzo@polimi.it marco.rabozzi@polimi.it marco3.nanni@mail.polimi.it marco.santambrogio@polimi.it Xilinx Open Hardware 2017 Contest

2. Gantt Chart 2

3. Milestone chart 3

4. SWOT Analysis 4 S W O T STRENGTHS WEAKNESSES OPPORTUNITIES THREATS

5. Strengths 5 • Highly energy-efficient, cost-effective implementation of All-Pairs n-body simulation on FPGA S W O T • One algorithm for multiple domains: molecular dynamics, astronomy, fluid dynamics

6. Weaknesses 6 • Special n-body system configurations allow the usage of simulation algorithms faster than the All-Pairs one S W O T but…

7. Opportunities 7 • Allow data scientists to perform faster simulations at low cost S W O T • Approach extensible to target large physical systems by leveraging multi-node architectures • These fast algorithms have All-Pairs implementation as kernel computation

8. Threats 8 • An increasing demand for high performance n-body simulation might decrease the cost of ASIC solutions S W O T

9. Thanks for your attention 9 Bibbidi N-Bobbidy boo at NECST (https://www.facebook.com/BibbidiNBobbidyboo/) Bibbidy N-BObbiDY boo at NECST (https://www.slideshare.net/bibbidyN-BObbiDYboo) Emanuele Del Sozzo emanuele.delsozzo@polimi.it Marco Rabozzi marco.rabozzi@polimi.it Marco Nanni marco3.nanni@mail.polimi.it Marco D. Santambrogio marco.santambrogio@polimi.it @N_BodyAtNECST (https://twitter.com/N_BodyAtNECST)