2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)最新文献

Massively Concurrent Red-Black Trees with Hardware Transactional Memory 具有硬件事务性内存的大规模并发红黑树

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.65

D. Siakavaras, K. Nikas, G. Goumas, N. Koziris

引用次数: 5

S4 Applications Simulator for Performance Evaluation S4应用模拟器的性能评估

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.128

Rafael Soto Gallardo, C. Bonacic, Mauricio Marín

引用次数: 1

SOF: Zero Configuration Simulation Optimization Framework on the Cloud SOF:基于云的零配置仿真优化框架

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.22

M. Carillo, G. Cordasco, Flavio Serrapica, V. Scarano, Carmine Spagnuolo, Przemysław Szufel

引用次数: 5

A Method to Improve Adaptivity of Odd-Even Routing Algorithm in Mesh NoCs 一种提高网格noc奇偶路由算法自适应的方法

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.61

Mohammad Sadrosadati, Ramin Bashizade, Shahin Roozkhosh, Ali Shafiee, H. Sarbazi-Azad

引用次数: 5

Assessing and Managing Risk by Simulating Attack Chains 通过模拟攻击链来评估和管理风险

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.50

F. Baiardi, F. Tonelli, A. D. R. D. Biase

引用次数: 2

Improving Performance of Transactional Applications through Adaptive Transactional Memory 通过自适应事务性内存提高事务性应用程序的性能

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.85

Thireshan Jeyakumaran, E. Atoofian, Yang Xiao, Zhen Li, A. Jannesari

引用次数: 3

Towards Architectural Design Space Exploration for Heterogeneous Manycores 异构多核的建筑设计空间探索

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.79

Benard Xypolitidis, R. Shabani, Satej V. Khandeparkar, Zain-ul-Abdin, Süleyman Savas, T. Nordström

{"title":"Towards Architectural Design Space Exploration for Heterogeneous Manycores","authors":"Benard Xypolitidis, R. Shabani, Satej V. Khandeparkar, Zain-ul-Abdin, Süleyman Savas, T. Nordström","doi":"10.1109/PDP.2016.79","DOIUrl":"https://doi.org/10.1109/PDP.2016.79","url":null,"abstract":"Today many of the high performance embedded processors already contain multiple processor cores and we see heterogeneous manycore architectures being proposed. Therefore it is very desirable to have a fast way to explore various heterogeneous architectures through the use of an architectural design space exploration tool, giving the designer the option to explore design alternatives before the physical implementation. In this paper, we have extended Heracles, a design space exploration tool for (homogeneous) manycore architectures, to incorporate different types of processing cores, and thus allow us to model heterogeneity. Our tool, called the Heterogeneous Heracles System (HHS), can besides the already supported MIPS core also include OpenRISC cores. The new tool retains the possibility available in Heracles to perform register transfer level (RTL) simulations of each explored architecture in Verilog as well as synthesizing it to field-programmable gate arrays (FPGAs). To facilitate the exploration of heterogeneous architectures, we have also extended the graphical user interface (GUI) to support heterogeneity. This GUI provides options to configure the types of core, core settings, memory system and network topology. Some initial results on FPGA utilization are presented from synthesizing both homogeneous and heterogeneous manycore architectures, as well as some benchmark results from both simulated and synthesized architectures.","PeriodicalId":192273,"journal":{"name":"2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130796058","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: 3

Analyzing and Improving Memory Access Patterns of Large Irregular Applications on NUMA Machines NUMA机器上大型不规则应用的内存访问模式分析与改进

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.37

Artur Mariano, M. Diener, C. Bischof, P. Navaux

引用次数: 6

GPU Acceleration of Smoothed Particle Hydrodynamics for the Navier-Stokes Equations Navier-Stokes方程光滑粒子流体力学的GPU加速

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.28

Yingrui Wang, Leisheng Li, Jingtao Wang, R. Tian

{"title":"GPU Acceleration of Smoothed Particle Hydrodynamics for the Navier-Stokes Equations","authors":"Yingrui Wang, Leisheng Li, Jingtao Wang, R. Tian","doi":"10.1109/PDP.2016.28","DOIUrl":"https://doi.org/10.1109/PDP.2016.28","url":null,"abstract":"Although there exist much work on GPU acceleration on the SPH method, the focus so far has been on the Euler equations in fluid mechanics. This paper presents GPU acceleration on the SPH method for the Navier-Stokes equations for both solid and fluid mechanics. We investigate and compare three CPU-GPU coupling models in terms of one large-scale parallel application code: (1) CPU?GPU (to only run hotspots on GPU), (2) GPU-alone (to run the whole of simulation on GPU), and (3) CPU||GPU (to treat CPU and GPU as equivalent processors). A common issue to the three models, \"easy code transplant onto GPU\", is emphasized. Optimizations on particle indexing and particle interaction on GPU, which are of unique importance to a SPH code, are addressed. Numerical experiments are finally performed and 4x, 10x, 16x speedups are observed for the three coupling models, respectively, with reference to single CPU core. Among the three, the fastest model -- Xthe \"CPU||GPU\" model -- Xfurther undergoes scalability tests on a cluster of 6 heterogeneous nodes and shows 90+% parallel efficiency.","PeriodicalId":192273,"journal":{"name":"2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127064191","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: 6

ALMOS Many-Core Operating System Extension with New Secure-Enable Mechanisms for Dynamic Creation of Secure Zones ALMOS多核操作系统扩展，具有新的安全启用机制，用于动态创建安全区域

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) Pub Date : 2016-04-04 DOI: 10.1109/PDP.2016.92

M. M. Real, Vincent Migliore, Vianney Lapôtre, G. Gogniat

引用次数: 4