PARMA-DITAM '16最新文献

Deploying and monitoring hadoop MapReduce analytics on single-chip cloud computer 在单片云计算机上部署和监控hadoop MapReduce分析

PARMA-DITAM '16 Pub Date : 2016-01-18 DOI: 10.1145/2872421.2872423

A. Georgiadis, S. Xydis, D. Soudris

引用次数: 3

Flexible resource allocation and management for application graphs on ReNÉ MPSoC 灵活的资源分配和管理上的应用图形ReNÉ MPSoC

PARMA-DITAM '16 Pub Date : 2016-01-18 DOI: 10.1145/2872421.2872426

K. Madhu, Anuj Rao, Saptarsi Das, Krishna C. Madhava, S. Nandy, R. Narayan

{"title":"Flexible resource allocation and management for application graphs on ReNÉ MPSoC","authors":"K. Madhu, Anuj Rao, Saptarsi Das, Krishna C. Madhava, S. Nandy, R. Narayan","doi":"10.1145/2872421.2872426","DOIUrl":"https://doi.org/10.1145/2872421.2872426","url":null,"abstract":"Performance of an application on a many-core machine primarily hinges on the ability of the architecture to exploit parallelism and to provide fast memory accesses. Exploiting parallelism in static application graphs on a multicore target is relatively easy owing to the fact that compilers can map them onto an optimal set of processing elements and memory modules. Dynamic application graphs have computations and data dependencies that manifest at runtime and hence may not be schedulable statically. Load balancing of such graphs requires runtime support (such as support for work-stealing) but results in overheads due to data and code movement. In this work, we use ReNÉ MPSoC as an alternative to the traditional many-core processing platforms to target application kernel graphs. ReNÉ is designed to be used as an accelerator to a host and offers the ability to exploit massive parallelism at multiple granularities and supports work-stealing for dynamic load-balancing. Further, it offers handles to enable and disable work-stealing selectively. ReNÉ employs an explicitly managed global memory with minimal hardware support for address translation required for relocating application kernels. We present a resource management methodology on ReNE MPSoC that encompasses a lightweight resource management hardware module and a compilation flow. Our methodology aims at identifying resource requirements at compile time and create resource boundaries (per application kernel) to guarantee performance and maximize resource utilization. The approach offers similar flexibility in resource allocation as a dynamic scheduling runtime but guarantees performance since locality of reference of data and code can be ensured.","PeriodicalId":115716,"journal":{"name":"PARMA-DITAM '16","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114593679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Predictive modeling methodology for compiler phase-ordering 编译器相位排序的预测建模方法

PARMA-DITAM '16 Pub Date : 2016-01-18 DOI: 10.1145/2872421.2872424

Amir H. Ashouri, Andrea Bignoli, G. Palermo, C. Silvano

引用次数: 28

Runtime resource management for embedded and HPC systems 嵌入式和高性能计算系统的运行时资源管理

PARMA-DITAM '16 Pub Date : 2016-01-18 DOI: 10.1145/2872421.2893173

W. Fornaciari, G. Pozzi, F. Reghenzani, Andrea Marchese, Mauro Belluschi

{"title":"Runtime resource management for embedded and HPC systems","authors":"W. Fornaciari, G. Pozzi, F. Reghenzani, Andrea Marchese, Mauro Belluschi","doi":"10.1145/2872421.2893173","DOIUrl":"https://doi.org/10.1145/2872421.2893173","url":null,"abstract":"Resource management is a well known problem in almost every computing system ranging from embedded to High Performance Computing (HPC) and is useful to optimize multiple orthogonal system metrics such as power consumption, performance and reliability. To achieve such an optimization a resource manager must suitably allocate the available system resources -- e.g. processing elements, memories and interconnect -- to the running applications. This kind of process incurs in two main problems: a) system resources are usually shared between multiple applications and this induces resource contention; and b) each application requires a different Quality of Service, making it harder for the resource manager to work in an application-agnostic mode. In this scenario, resource management represents a critical and essential component in a computing system and should act at different levels to optimize the whole system while keeping it flexible and versatile.\u0000 In this paper we describe a multi-layer resource management strategy that operates at application, operating system and hardware level and tries to optimize resource allocation on embedded, desktop multi-core and HPC systems.","PeriodicalId":115716,"journal":{"name":"PARMA-DITAM '16","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124313259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Low communication overhead dynamic mapping of multiple HEVC video stream decoding on NoCs 低通信开销的多HEVC视频流解码在noc上的动态映射

PARMA-DITAM '16 Pub Date : 2016-01-18 DOI: 10.1145/2872421.2872422

H. R. Mendis, L. Indrusiak

引用次数: 0

Stack size estimation on machine-independent intermediate code for OpenCL kernels OpenCL内核中机器无关中间代码的栈大小估计

PARMA-DITAM '16 Pub Date : 2016-01-18 DOI: 10.1145/2872421.2872425

Stefano Cherubin, M. Scandale, G. Agosta

引用次数: 1