Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
Asymmetry-aware Execution Placement on Manycore Chips
Proc. of the 3rd Workshop on Systems for Future Multicore Architectures (SFMA'13), EuroSys'13, Apr. 14-17, 2013, Prague, Czech Republic.
Alexey Tumanov, Joshua Wise, Onur Mutlu, Gregory R. Ganger
Carnegie Mellon University
Network-on-chip based manycore systems with multiple memory controllers on a chip are gaining prevalence. Among other research considerations, placing an increasing number of cores on a chip creates a type of resource access asymmetries that didn't exist before. A common assumption of uniform or hierarchical memory controller access no longer holds. In this paper, we report on our experience with memory access asymmetries in a real manycore processor, the implications and extent of the problem they pose, and one potential thread placement solution that mitigates them. Our user-space scheduler harvests memory controller usage information generated in kernel space on a per process basis and enables thread placement decisions informed by threads' historical physical memory usage patterns. Results reveal a clear need for low-overhead, per-process memory controller hardware counters and show improved benchmark and application performance with a memory controller usage-aware execution placement policy.
FULL PAPER: pdf