Výsledky vyhľadávania - "2012 IEEE 26th International Parallel and Distributed Processing Symposium"

Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound Autor Rountree, B., Ahn, D. H., de Supinski, B. R., Lowenthal, D. K., Schulz, M.

“…Dynamic Voltage Frequency Scaling (DVFS) has been the tool of choice for balancing power and performance in high-performance computing (HPC). With the…”
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Productive Programming of GPU Clusters with OmpSs Autor Bueno, J., Planas, J., Duran, A., Badia, R. M., Martorell, X., Ayguade, E., Labarta, J.

“…Clusters of GPUs are emerging as a new computational scenario. Programming them requires the use of hybrid models that increase the complexity of the…”
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Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation Autor Kreutzer, M., Hager, G., Wellein, G., Fehske, H., Basermann, A., Bishop, A. R.

“…Sparse matrix-vector multiplication (spMVM) is the dominant operation in many sparse solvers. We investigate performance properties of spMVM with matrices of…”
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A Self-tuning Failure Detection Scheme for Cloud Computing Service Autor Naixue Xiong, Vasilakos, A. V., Jie Wu, Yang, Y. R., Rindos, A., Yuezhi Zhou, Wen-Zhan Song, Yi Pan

“…Cloud computing is an increasingly important solution for providing services deployed in dynamically scalable cloud networks. Services in the cloud computing…”
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High-Performance Design of HBase with RDMA over InfiniBand Autor Jian Huang, Xiangyong Ouyang, Jose, J., Wasi-ur-Rahman, Md, Hao Wang, Miao Luo, Subramoni, H., Murthy, C., Panda, D. K.

“…HBase is an open source distributed Key/Value store based on the idea of Big Table. It is being used in many data-center Papplications (e.g. Face book,…”
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SAHAD: Subgraph Analysis in Massive Networks Using Hadoop Autor Zhao Zhao, Guanying Wang, Butt, A. R., Khan, M., Kumar, V. S. A., Marathe, M. V.

“…Relational sub graph analysis, e.g. finding labeled sub graphs in a network, which are isomorphic to a template, is a key problem in many graph related…”
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GPU Implementation of the Branch and Bound Method for Knapsack Problems Autor Lalami, M. E., El-Baz, D.

“…In this paper, we propose an efficient implementation of the branch and bound method for knapsack problems on a CPU-GPU system via CUDA. Branch and bound…”
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Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications Autor Dong Li, Vetter, J. S., Marin, G., McCurdy, C., Cira, C., Zhuo Liu, Weikuan Yu

“…Future exascale systems face extreme power challenges. To improve power efficiency of future HPC systems, non-volatile memory (NVRAM) technologies are being…”
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PAMI: A Parallel Active Message Interface for the Blue Gene/Q Supercomputer Autor Kumar, S., Mamidala, A. R., Faraj, D. A., Smith, B., Blocksome, M., Cernohous, B., Miller, D., Parker, J., Ratterman, J., Heidelberger, P., Dong Chen, Steinmacher-Burrow, B.

“…The Blue Gene/Q machine is the next generation in the line of IBM massively parallel supercomputers, designed to scale to 262144 nodes and sixteen million…”
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Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems Autor Gainaru, A., Cappello, F., Kramer, W.

“…HPC systems are complex machines that generate a huge volume of system state data called "events". Events are generated without following a general consistent…”
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NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines Autor Chao Wang, Vazhkudai, S. S., Xiaosong Ma, Fei Meng, Youngjae Kim, Engelmann, C.

“…DRAM is a precious resource in extreme-scale machines and is increasingly becoming scarce, mainly due to the growing number of cores per node. On future…”
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Virtual Machine Resource Allocation for Service Hosting on Heterogeneous Distributed Platforms Autor Stillwell, M., Vivien, F., Casanova, H.

“…We propose algorithms for allocating multiple resources to competing services running in virtual machines on heterogeneous distributed platforms. We develop a…”
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Optimizing MPI Communication on Multi-GPU Systems Using CUDA Inter-Process Communication Autor Potluri, S., Wang, H., Bureddy, D., Singh, A. K., Rosales, C., Panda, D. K.

“…Many modern clusters are being equipped with multiple GPUs per node to achieve better compute density and power efficiency. However, moving data in/out of GPUs…”
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Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform Autor Fan Zhang, Docan, C., Parashar, M., Klasky, S., Podhorszki, N., Abbasi, H.

“…Emerging scientific application workflows are composed of heterogeneous coupled component applications that simulate different aspects of the physical…”
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Optimal Resource Rental Planning for Elastic Applications in Cloud Market Autor Han Zhao, Miao Pan, Xinxin Liu, Xiaolin Li, Yuguang Fang

“…This paper studies the optimization problem of minimizing resource rental cost for running elastic applications in cloud while meeting application service…”
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Heterogeneous Task Scheduling for Accelerated OpenMP Autor Scogland, T. R. W., Rountree, B., Wu-chun Feng, de Supinski, B. R.

“…Heterogeneous systems with CPUs and computational accelerators such as GPUs, FPGAs or the upcoming Intel MIC are becoming mainstream. In these systems, peak…”
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ExPERT: Pareto-Efficient Task Replication on Grids and a Cloud Autor Ben-Yehuda, O. A., Schuster, A., Sharov, A., Silberstein, M., Iosup, A.

“…Many scientists perform extensive computations by executing large bags of similar tasks (BoTs) in mixtures of computational environments, such as grids and…”
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Fast and Efficient Graph Traversal Algorithm for CPUs: Maximizing Single-Node Efficiency Autor Chhugani, J., Satish, N., Changkyu Kim, Sewall, J., Dubey, P.

“…Graph-based structures are being increasingly used to model data and relations among data in a number of fields. Graph-based databases are becoming more…”
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Scalable Critical-Path Based Performance Analysis Autor Bohme, D., Wolf, F., de Supinski, B. R., Schulz, M., Geimer, M.

“…The critical path, which describes the longest execution sequence without wait states in a parallel program, identifies the activities that determine the…”
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PARDA: A Fast Parallel Reuse Distance Analysis Algorithm Autor Qingpeng Niu, Dinan, J., Qingda Lu, Sadayappan, P.

“…Reuse distance is a well established approach to characterizing data cache locality based on the stack histogram model. This analysis so far has been…”
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