In:
ACM SIGARCH Computer Architecture News, Association for Computing Machinery (ACM), Vol. 43, No. 1 ( 2015-05-29), p. 131-143
Abstract:
This paper presents PARD, a programmable architecture for resourcing-on-demand that provides a new programming interface to convey an application's high-level information like quality-of-service requirements to the hardware. PARD enables new functionalities like fully hardware-supported virtualization and differentiated services in computers. PARD is inspired by the observation that a computer is inherently a network in which hardware components communicate via packets (e.g., over the NoC or PCIe). We apply principles of software-defined networking to this intra-computer network and address three major challenges. First, to deal with the semantic gap between high-level applications and underlying hardware packets, PARD attaches a high-level semantic tag (e.g., a virtual machine or thread ID) to each memory-access, I/O, or interrupt packet. Second, to make hardware components more manageable, PARD implements programmable control planes that can be integrated into various shared resources (e.g., cache, DRAM, and I/O devices) and can differentially process packets according to tag-based rules. Third, to facilitate programming, PARD abstracts all control planes as a device file tree to provide a uniform programming interface via which users create and apply tag-based rules. Full-system simulation results show that by co-locating latencycritical memcached applications with other workloads PARD can improve a four-core computer's CPU utilization by up to a factor of four without significantly increasing tail latency. FPGA emulation based on a preliminary RTL implementation demonstrates that the cache control plane introduces no extra latency and that the memory control plane can reduce queueing delay for high-priority memory-access requests by up to a factor of 5.6.
Type of Medium:
Online Resource
ISSN:
0163-5964
DOI:
10.1145/2786763.2694382
Language:
English
Publisher:
Association for Computing Machinery (ACM)
Publication Date:
2015
detail.hit.zdb_id:
2088489-8
detail.hit.zdb_id:
186012-4
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