Search Results - "Yoo, Andy"

Performance Comparison of Coscheduling Algorithms for Non-Dedicated Clusters Through a Generic Framework by Choi, Gyu Sang, Agarwal, Saurabh, Kim, Jin-Ha, Das, Chita R., Yoo, Andy B.

“…In this paper, we address several key issues in designing coscheduling algorithms for clusters. First, we propose a generic framework for deploying…”
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A comprehensive performance and energy consumption analysis of scheduling alternatives in clusters by GYU SANG CHOI, KIM, Jin-Ha, ERSOZ, Deniz, YOO, Andy B, DAS, Chita R

“…In this paper, we conduct an in-depth evaluation of a broad spectrum of scheduling alternatives for clusters. These include the widely used batch scheduling,…”
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Scalable Analysis of Massive Graphs on a Parallel Data Flow System by Yoo, A.

“…The feasibility of using dataflow systems for running complex graph queries is studied in this paper. A general query optimization framework for parallel…”
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Hardware Technologies for High-Performance Data-Intensive Computing by Gokhale, M., Cohen, J., Yoo, A., Miller, W.M., Jacob, A., Ulmer, C., Pearce, R.

“…Data-intensive problems challenge conventional computing architectures with demanding CPU, memory, and I/O requirements. Experiments with three benchmarks…”
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Aluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Neural Networks on HPC Systems by Dryden, Nikoli, Maruyama, Naoya, Moon, Tim, Benson, Tom, Yoo, Andy, Snir, Marc, Van Essen, Brian

“…We identify communication as a major bottleneck for training deep neural networks on large-scale GPU clusters, taking over 10x as long as computation. To…”
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Hardware Technologies for High-Performance Data-Intensive Computing : Data-intensive computing by GOKHALE, Maya, COHEN, Jonathan, YOO, Andy, MILLER, W. Marcus, JACOB, Arpith, ULMER, Craig, PEARCE, Roger

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Coscheduling in Clusters: Is It a Viable Alternative? by Choi, Gyu Sang, Kim, Jin-Ha, Ersoz, Deniz, Yoo, Andy B., Das, Chita R.

“…In this paper, we conduct an in-depth evaluation of a broad spectrum of scheduling alternatives for clusters. These include the widely used batch scheduling,…”
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Parallel Generation of Massive Scale-Free Graphs by Yoo, Andy, Henderson, Keith

“…One of the biggest huddles faced by researchers studying algorithms for massive graphs is the lack of large input graphs that are essential for the development…”
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A scalable eigensolver for large scale-free graphs using 2D graph partitioning by Yoo, Andy, Baker, Allison H., Pearce, Roger, Van Emden Henson

“…Eigensolvers are important tools for analyzing and mining useful information from scale-free graphs. Such graphs are used in many applications and can be…”
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MSSG: A Framework for Massive-Scale Semantic Graphs by Hartley, T.D.R., Umit Catalyurek, Ozguner, F., Yoo, A., Kohn, S., Henderson, K.

“…This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic…”
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A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L by Yoo, Andy, Chow, Edmond, Henderson, Keith, McLendon, William, Hendrickson, Bruce, Catalyurek, Umit

“…Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a…”
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Parallel massive scale-free graph generators by Yoo, Andy, Henderson, Keith

“…The lack of publicly available large scale-free graphs forces researchers studying massive scale-free graphs to rely on synthetically generated graphs in…”
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A New Benchmark For Evaluation Of Graph-Theoretic Algorithms by Yoo, Andy B, Liu, Yang, Vaidya, Sheila, Poole, Stephen

“…We propose a new graph-theoretic benchmark in this paper. The benchmark is developed to address shortcomings of an existing widely-used graph benchmark. We…”
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Co-ordinated coscheduling in time-sharing clusters through a generic framework by Agarwal, Yoo, Gyu Sang Choi, Das, Nagar

“…In this paper, we attempt to address several key issues in designing coscheduling algorithms for clusters. First, we propose a generic framework for deploying…”
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Processing massive sized graphs using Sector/Sphere by Yunhong Gu, Li Lu, Grossman, R, Yoo, A

“…Data intensive computing is having an increasing awareness among computer science researchers. As the data size increases even faster than Moore's Law, many…”
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An Empirical Performance Evaluation of Scalable Scientific Applications by Vetter, J.S., Yoo, A.

“…We investigate the scalability, architectural requirements,a nd performance characteristics of eight scalable scientific applications. Our analysis is driven…”
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An empirical performance evaluation of scalable scientific applications by Vetter, Jeffrey S., Yoo, Andy

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METRIC: tracking down inefficiencies in the memory hierarchy via binary rewriting by Marathe, Jaydeep, Mueller, Frank, Mohan, Tushar, de Supinski, Bronis R., McKee, Sally A., Yoo, Andy

“…In this paper, we present METRIC, an environment for determining memory inefficiencies by examining data traces. METRIC is designed to alter the performance…”
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Workshop 13 introduction: The fourth international workshop on System Management Techniques, Processes, and Services - SMTPS

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Identifying and Exploiting Spatial Regularity in Data Memory References by Mohan, Tushar, Supinski, Bronis R. de, McKee, Sally A., Mueller, Frank, Yoo, Andy, Schulz, Martin

“…The growing processor/memory performance gap causes the performance of many codes to be limited by memory accesses. If known to exist in an application,…”
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