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.
ChargeCache: Reducing DRAM Latency by Exploiting Row Access Locality
Proceedings of the 22nd International Symposium on High-Performance Computer Architecture (HPCA), Barcelona, Spain, March 2016.
Hasan Hassan†*, Gennady Pekhimenko†, Nandita Vijaykumar†, Vivek Seshadri†, Donghyuk Lee†, Oguz Ergin*, Onur Mutlu†
† Carnegie Mellon University
* TOBB University of Economics & Technology
DRAM latency continues to be a critical bottleneck for system performance. In this work, we develop a low-cost mechanism, called ChargeCache, that enables faster access to recently-accessed rows in DRAM, with no modifications to DRAM chips. Our mechanism is based on the key observation that a recently-accessed row has more charge and thus the following access to the same row can be performed faster. To exploit this observation, we propose to track the addresses of recently-accessed rows in a table in the memory controller. If a later DRAM request hits in that table, the memory controller uses lower timing parameters, leading to reduced DRAM latency. Row addresses are removed from the table after a specified duration to ensure rows that have leaked too much charge are not accessed with lower latency. We evaluate ChargeCache on a wide variety of workloads and show that it provides significant performance and energy benefits for both single-core and multi-core systems.
FULL PAPER: pdf