作者: faction 時(shí)間: 2025-3-21 21:45
Topic 1: Support Tools and Environments the correctness and the performance of the computation. It is interesting to note that this topic has always been listed as Topic 1 in the EuroPar conference series for some time now - emphasising its importance and focus in the parallel and distributed systems community. The increasing demand to d作者: GLUE 時(shí)間: 2025-3-22 04:24 作者: 強(qiáng)行引入 時(shí)間: 2025-3-22 06:15 作者: 陰謀小團(tuán)體 時(shí)間: 2025-3-22 11:07 作者: 形狀 時(shí)間: 2025-3-22 14:25 作者: 形狀 時(shí)間: 2025-3-22 19:28 作者: 愛花花兒憤怒 時(shí)間: 2025-3-23 01:06 作者: CRATE 時(shí)間: 2025-3-23 05:09 作者: 無(wú)可非議 時(shí)間: 2025-3-23 05:36
Understanding I/O Performance Using I/O Skeletal Applicationsderstanding the causes of I/O bottlenecks in these applications. The need for I/O optimization is critical given the difficulty in scaling I/O to ever increasing numbers of processing cores. To address this need, we have pioneered a new approach to the analysis of I/O performance using automatic gen作者: FLIT 時(shí)間: 2025-3-23 09:53
ASK: Adaptive Sampling Kit for Performance Characterizationrade-offs in large design spaces. Exhaustively sampling all points is computationally intractable. Therefore, ASK concentrates exploration in the most irregular regions of the design space through multiple adaptive sampling methods. The paper presents the ASK architecture and a set of adaptive sampl作者: Vertebra 時(shí)間: 2025-3-23 15:14 作者: Cabg318 時(shí)間: 2025-3-23 18:51
Topic 3: Scheduling and Load Balancingters, hardware accelerators, multi-core platforms, computational grids, etc. Despite of lot of efforts and nice positive results obtained during the past years, such systems are still not fully exploited. Scheduling represents the use or optimization of resources allocation in parallel and distribut作者: 構(gòu)成 時(shí)間: 2025-3-24 02:05 作者: Small-Intestine 時(shí)間: 2025-3-24 05:07 作者: linear 時(shí)間: 2025-3-24 07:51 作者: crumble 時(shí)間: 2025-3-24 10:59 作者: CON 時(shí)間: 2025-3-24 17:47 作者: albuminuria 時(shí)間: 2025-3-24 22:49
Scheduling MapReduce Jobs in HPC Clusters its simplicity, efficiency and highly scalable parallel model. However, MR implementations present some issues that may complicate its execution in existing HPC clusters, specially concerning the job submission. While on MR there are no strict parameters required to submit a job, in a typical HPC c作者: COM 時(shí)間: 2025-3-25 03:08
0302-9743 he 18th International Conference, Euro-Par 2012, held in Rhodes Islands, Greece, in August 2012. The 75 revised full papers presented were carefully reviewed and selected from 228 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and 作者: 辭職 時(shí)間: 2025-3-25 06:50 作者: tackle 時(shí)間: 2025-3-25 11:09
Conference proceedings 2012 distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance network and communication; mobile and ubiquitous computing; high performance and scientific applications; GPU and accelerators computing.作者: 元音 時(shí)間: 2025-3-25 11:51 作者: 轎車 時(shí)間: 2025-3-25 16:34
https://doi.org/10.1007/978-3-662-26277-1signers and researchers involved with the qualitative and quantitative evaluation and modeling of large-scale parallel and distributed applications and systems to focus on current critical areas of performance prediction and evaluation theory and practice.作者: AROMA 時(shí)間: 2025-3-26 00:04
https://doi.org/10.37307/b.978-3-503-21223-1 purpose many-core processor. Running SPLASH2 benchmark applications, the experimental results demonstrate it can deliver speed improvement by 28%~67% over static partition scheme and reduces timing errors to <10% in very relaxed simulation (quantum size as 64).作者: Mets552 時(shí)間: 2025-3-26 04:12 作者: Obstruction 時(shí)間: 2025-3-26 07:23 作者: Coronary-Spasm 時(shí)間: 2025-3-26 12:09
CRAW/P: A Workload Partition Method for the Efficient Parallel Simulation of Manycores purpose many-core processor. Running SPLASH2 benchmark applications, the experimental results demonstrate it can deliver speed improvement by 28%~67% over static partition scheme and reduces timing errors to <10% in very relaxed simulation (quantum size as 64).作者: 思考 時(shí)間: 2025-3-26 13:26
Energy Consumption Modeling for Hybrid Computingnalyzed the power consumption implications of different processing modes and various chip configurations. The analysis shows clearly that greater parallelism is the most important factor affecting energy saving.作者: Morose 時(shí)間: 2025-3-26 19:25 作者: 不確定 時(shí)間: 2025-3-26 22:27 作者: Daily-Value 時(shí)間: 2025-3-27 05:04
Speed Scaling on Parallel Processors with Migrationconvex program and we propose a polynomial-time combinatorial algorithm which is based on a reduction to the maximum flow problem. We extend our algorithm to the multiprocessor speed scaling problem with preemption and migration where the objective is the minimization of the maximum lateness under a budget of energy.作者: Fillet,Filet 時(shí)間: 2025-3-27 09:01 作者: 古文字學(xué) 時(shí)間: 2025-3-27 10:07
,Ursachen der Filzf?higkeit (3),n directory. The main contribution of this work is the derivation of useful rules of thumbs to help users and system administrators predict the variation in Lustre’s performance produced as a result of changes in the latency of the I/O network.作者: amnesia 時(shí)間: 2025-3-27 16:21
Lehr- und Forschungstexte Psychologieon functions including a minimum and maximum clock frequency and a linear term in energy consumption. We need certain assumptions on the speedup function of the jobs that we show to apply for a large class of practically occurring functions.作者: 保守 時(shí)間: 2025-3-27 20:14 作者: indices 時(shí)間: 2025-3-27 22:09
https://doi.org/10.1007/978-3-642-94305-8ew that is augmented with key performance information, and a loop-nest dependency view that can be used to visualize data dependencies gathered from static or dynamic analyses. Our paper will demonstrate how these two new perspectives aid in the parallelization of code.作者: entail 時(shí)間: 2025-3-28 02:13
Aufbau der Betriebsionenquelle, recorded in event traces, our method is independent of the specific communication pattern employed. We demonstrate that replacing detected broadcasts in the HPL benchmark can yield significant performance improvements.作者: 和平主義者 時(shí)間: 2025-3-28 09:57 作者: neolith 時(shí)間: 2025-3-28 11:29
https://doi.org/10.1007/978-3-658-22587-2, whereas there is little improvement for less irregular ones. Furthermore, we show that when load information is used, Cluster-aware Random Stealing gives the best speedups for both regular and irregular D&C applications.作者: 石墨 時(shí)間: 2025-3-28 15:40 作者: fatty-acids 時(shí)間: 2025-3-28 21:25
Tulipse: A Visualization Framework for User-Guided Parallelizationew that is augmented with key performance information, and a loop-nest dependency view that can be used to visualize data dependencies gathered from static or dynamic analyses. Our paper will demonstrate how these two new perspectives aid in the parallelization of code.作者: decode 時(shí)間: 2025-3-28 23:04
Pattern-Independent Detection of Manual Collectives in MPI Programs recorded in event traces, our method is independent of the specific communication pattern employed. We demonstrate that replacing detected broadcasts in the HPL benchmark can yield significant performance improvements.作者: ordain 時(shí)間: 2025-3-29 03:42 作者: LINES 時(shí)間: 2025-3-29 09:04
Using Load Information in Work-Stealing on Distributed Systems with Non-uniform Communication Latenc, whereas there is little improvement for less irregular ones. Furthermore, we show that when load information is used, Cluster-aware Random Stealing gives the best speedups for both regular and irregular D&C applications.作者: ostensible 時(shí)間: 2025-3-29 11:41 作者: 欲望 時(shí)間: 2025-3-29 15:46 作者: Hla461 時(shí)間: 2025-3-29 20:01 作者: 流浪 時(shí)間: 2025-3-30 02:54
https://doi.org/10.1007/978-3-642-94305-8structures and data dependencies in order to do a good job. Current options available to the programmer include either automatic parallelization or a complete rewrite in a parallel programming language. However, there are limitations with these options. In this paper, we propose a framework that ena作者: ORBIT 時(shí)間: 2025-3-30 04:03 作者: 音樂會(huì) 時(shí)間: 2025-3-30 10:25 作者: Irrigate 時(shí)間: 2025-3-30 14:32
https://doi.org/10.1007/978-3-663-04622-6w-level access to accelerator programming, the task cries out for a higher-level abstraction. Of the higher-level programming models which have emerged, few are intended to co-exist with mainstream, general-purpose languages while supporting tunability, composability, and transparency of implementat作者: 現(xiàn)代 時(shí)間: 2025-3-30 16:55 作者: MOT 時(shí)間: 2025-3-30 21:49 作者: Ointment 時(shí)間: 2025-3-31 04:07
,Ursachen der Filzf?higkeit (3),e system and its networking layer under different latency scenarios. The results led us to a better understanding of the impact that the network latency has on Lustre’s performance. In particular spanning Lustre’s networking layer, striped small I/O, and the parallel creation of files inside a commo作者: Soliloquy 時(shí)間: 2025-3-31 07:11 作者: 不容置疑 時(shí)間: 2025-3-31 12:04
https://doi.org/10.1007/978-3-663-04623-3rade-offs in large design spaces. Exhaustively sampling all points is computationally intractable. Therefore, ASK concentrates exploration in the most irregular regions of the design space through multiple adaptive sampling methods. The paper presents the ASK architecture and a set of adaptive sampl
