2nd Workshop on Architecture and Multi-Core Applications
October 26th and 27th of 2011

Held in conjunction with the
23rd International Symposium on Computer Architecture and High Performance Computing
(SBAC PAD 2011)

About 2nd Workshop on Architecture for Multi-Core Applications
Advanced scientific and engineering communities have used parallel computing to solve their large scale complex problems for a long time. Nowadays, however, technology is currently going through some important evolutionary trends. Multi and many-core architectures have come forth and are becoming commonplace. These novel architectures are offering a better combination of processing power and energy efficiency, but the technology push is being observed from the hardware side. From the application side, taking full advantage of the power of multi and many-core architectures is still challenging.

This workshop opens up an opportunity for application designers and computer architects to discuss emerging applications as well as their implications on current- and next-generation many-core architectures. Our goal is to confirm the current status of application development and optimization techniques for this new technology as well as the future trends, exposing the findings, requirements, and problems to a select audience of top computer architecture researchers. We aim to focus on the discussion of multi and many core computing from different aspects such as:
  • Benchmarking and Tools
    • Compilers, debuggers and profilers
    • Methodologies, Metrics, and Benchmarking
    • Comparative studies of many-core architectures
  • Architecture and Performance Analysis
    • MPSoC architectures
    • Performance and power Analysis
    • NoC-based multicore architectures
    • Multicore interconnection networks
    • Inter-core communication algorithms
    • Evaluating and tuning application power-footprints
  • Applications, Algorithms and Programming Models
    • Scheduling and fault-tolerance issues
    • Multicore applications for data-centers
    • Parallelization algorithms and techniques
    • I/O techniques for multicore programming
    • GPU-based applications and programming
    • Parallelizing known applications and evaluating performance
    • Parallelization algorithms, techniques and programming models
WAMCA also intends to form multi-institutional collaborative networks, and the strengthening of ongoing activities.