SEARCH
ISTC-CC NEWSLETTER
RESEARCH HIGHLIGHTS
Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
ISTC-CC provides a listing of useful benchmarks for cloud computing.
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.
ISTC-CC Abstract
Kilo-NOC: A Heterogeneous Network-on-Chip Architecture for Scalability and Service Guarantees
IEEE Micro, Special Issue: Micro's Top Picks from 2011 Computer Architecture Conferences, May-June 2012.
Boris Grot* Joel Hestness* Stephen W. Keckler*†, Onur Mutlu‡
*The University of Texas at Austin
†NVIDIA
‡Carnegie Mellon University
Today's chip-level multiprocessors (CMPs) feature up to a hundred discrete cores, and with increasing levels of integration, CMPs with hundreds of cores, cache tiles, and specialized accelerators are anticipated in the near future. In this paper, we propose and evaluate technologies to enable networks-on-chip (NOCs) to support a thousand connected components (Kilo-NOC) with high area and energy efficiency, good performance, and strong quality-of-service (QOS) guarantees. Our analysis shows that QOS support burdens the network with high area and energy costs. In response, we propose a new lightweight topology-aware QOS architecture that provides service guarantees for applications such as consolidated servers on CMPs and real-time SOCs. Unlike prior NOC quality-of-service proposals which require QOS support at every network node, our scheme restricts the extent of hardware support to portions of the die, reducing router complexity in the rest of the chip. We further improve network area- and energy-efficiency through a novel flow control mechanism that enables a single-network, low-cost elastic buffer implementation. Together, these techniques yield a heterogeneous Kilo-NOC architecture that consumes 45% less area and 29% less power than a state-of-the-art QOSenabled NOC without these features.
FULL PAPER: pdf
