Home Projects and events Summer Courses Performance-aware programming with application accelerators

Programme

Course info Speaker bios

  • 28 July — 1 August, 2014

1st Day
Day One
09:00 — 10:00
Lecture 1: Introduction: performance evaluation
  • Computer organisation revisited
  • Hardware/software support for running a program
  • Basic techniques in achieving high performance
10:00 — 12:00
Workshop 1: Writing fast code
  • Architecture-specific code optimisation
  • Performance evaluation
12:00 — 13:00
Poster session 1
13:00 — 14:00
Lunch
14:00 — 15:00
Lecture 2: Parallel programming
  • Multicore and computer cluster system
  • Data parallelism vs. control parallelism
  • Thread based programming
15:00 — 17:00
Workshop 2: Writing parallel code
  • POSIX thread programming
  • Data parallelism with SSE
2nd Day
Day Two
09:00 — 10:00
Lecture 3: FPGA as a computing device
  • Dataflow processing
  • Stream processing
  • Pipelined architecture
  • Interfaces
10:00 — 12:00
Workshop 3: Basic FPGA design flow
  • From system specification to bitstream download
12:00 — 13:00
Poster session 2
13:00 — 14:00
Lunch
14:00 — 15:00
Lecture 4: Computer arithmetic & algorithm on FPGAs
  • Number representations
  • Word width optimisation
  • Fast bit operations
  • Sorting network
15:00 — 17:00
Workshop 4: Application specific computing units on FPGAs
  • Area-power-performance-precision trade off
3rd Day
Day Three
09:00 — 10:00
Lecture 5: High-level synthesis for FPGAs
  • High-level languages
  • Design environment
10:00 — 12:00
Workshop 5: Programming with high-level synthesis tools
  • Leg Up project from University of Toronto
12:00 — 13:00
Poster Session 3
13:00 — 14:00
Lunch
14:00 — 17:00
p.m. Half-day excursion
4th Day
Day Four
09:00 — 10:00
Lecture 6: Domain-specific languages
  • General purpose vs domain specific languages
  • DSL design flow
10:00 — 12:00
Workshop 6: Programming with hardware construction language
  • Chisel high-level language from UC Berkeley
12:00 — 13:00
Poster session 4
13:00 — 14:00
Lunch
14:00 — 15:00
Lecture 7: Hardware-software codesign
  • FPGA as an accelerator
  • Hardware-software partitioning
  • Synchronization and communication
15:00 — 17:00
Workshop 7: Mixed hardware-software execution environment
  • HW-SW coprocessing
  • Communication and synchronization
5th Day
Day Five
09:00 — 10:00
Lecture 8: GPU as a computing device
10:00 — 12:00
Workshop 8: Programming with GPU
  • CUDA programming
12:00 — 13:00
Poster session 5
13:00 — 14:00
Lunch
14:00 — 15:00
Lecture 9: Architectural tradeoffs
  • CPU vs FPGA vs GPU
15:00 — 17:00
Workshop 9: One application, three architecture
  • Matrix multiply on CPU, FPGA, GPU
17:00 — 17:30
Course wrap-up

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