Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Abstract

This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThe architecture design of peta-scale computing systems is complex and presents lots of difficulties to designs, as current tools lack support for relevant features of future scenarios. Novel systems must be designed with great care and tools, such as manycore architecture simulators, must be adapted accordingly. However, current simulation tools are very slow, often specific-purposeoriented, suffer from various issues and are rarely able to simulate thousands of cores. The emergence of peta-scale systems and the upcoming manycore era brings nevertheless new challenges to computing systems and architectures, adding further difficulties and requirements on the development of the corresponding simulators. Furthermore, the design of architecture simulators for manycore systems involve methods and techniques from various interdisciplinary research areas, which in turn brings more challenges in different aspects. As system complexity grows, the growth of the simulation capacity is being outpaced (reaching the so called simulation wall). In this paper, we present the challenges for simulating future large scale manycore environments, and we investigate the adequacy of current modeling and simulation tools, methodologies and techniques. The aim of this work is to highlight how current approaches can best deal with the identified problems, smoothing the challenges of research in future peta-scale systems.

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

“…This is different from the distrusted parallel simulation of model partitions across multiple machines/processors in a cluster which might be challenging, as we discussed in our previous work [35].…”

Resource discovery for distributed computing systems: A comprehensive survey

“…This provides motivation to go beyond the current Grids through the concept of Distributed Operation Systems (DOSs), capable to run on future large-scale systems. S[o]OS [295][296][297][351][352][353][354][355][356][357][358][359][360], Barrelfish [361], and MyThOS [362] are recent research projects aiming to provide references for such DOSs. Resource discovery for DOSs requires a fine-grained, thread-level (system-level) resource discovery approach which can work in a fully decentralized, self-determining and autonomous fashion.…”

A content analysis-based approach to explore simulation verification and identify its current challenges

“…Verification costs increase as a result of increasing system autonomy, complexity, and abilities to assess their own status [77]. These characteristics reflect challenges pertaining to parallel execution, large amounts of simulated data [15,78], building and running models in the cloud [38,39,60,79,80], and tracing the occurrences of errors to their sources [61,81,82].…”