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SC
2009
ACM

179views Applied Computing» more SC 2009»

A data throughput prediction and optimization service for widely distributed many-task computing

2 years 4 days ago

Download dsl.cs.uchicago.edu

Dengpan Yin, Esma Yildirim, Tevfik Kosar

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Id	Views	Title	Status
1	179	A data throughput prediction and optimization service for widely distributed many-task computing	claim
2	149	Leveraging 3D PCRAM technologies to reduce checkpoint overhead for future exascale systems	claim
3	146	Kestrel: an XMPP-based framework for many task computing applications	claim
4	128	GPU based sparse grid technique for solving multidimensional options pricing PDEs	claim
5	118	Implementing a high-volume, low-latency market data processing system on commodity hardware using IBM middleware	claim
6	116	VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance	claim
7	109	Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems	claim
8	106	Implementing sparse matrix-vector multiplication on throughput-oriented processors	claim
9	105	Allocator implementations for network-on-chip routers	claim
10	98	Lessons learned from a year's worth of benchmarks of large data clouds	claim
11	97	Terascale data organization for discovering multivariate climatic trends	claim
12	96	Enabling software management for multicore caches with a lightweight hardware support	claim
13	96	A scalable method for ab initio computation of free energies in nanoscale systems	claim
14	95	PLFS: a checkpoint filesystem for parallel applications	claim
15	94	Scalable computing with parallel tasks	claim
16	92	Scalable massively parallel I/O to task-local files	claim
17	89	GridBot: execution of bags of tasks in multiple grids	claim
18	89	The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses	claim
19	88	A massively parallel adaptive fast-multipole method on heterogeneous architectures	claim
20	86	Age based scheduling for asymmetric multiprocessors	claim
21	85	OddCI: on-demand distributed computing infrastructure	claim
22	85	Machine learning-based prefetch optimization for data center applications	claim
23	83	Improving GridFTP performance using the Phoebus session layer	claim
24	80	Exploring many task computing in scientific workflows	claim
25	80	FACT: fast communication trace collection for parallel applications through program slicing	claim
26	80	Scalable work stealing	claim
27	79	Router designs for elastic buffer on-chip networks	claim
28	78	Future scaling of processor-memory interfaces	claim
29	78	Optimal real number codes for fault tolerant matrix operations	claim
30	78	Minimizing communication in sparse matrix solvers	claim
31	77	Using dynamic accounts to enable access to advanced resources through science gateways	claim
32	76	Increasing memory miss tolerance for SIMD cores	claim
33	76	Automating the generation of composed linear algebra kernels	claim
34	75	Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems	claim
35	75	On the design of scalable, self-configuring virtual networks	claim
36	74	Pipeline-centric provenance model	claim
37	73	Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+	claim
38	73	FALCON: a system for reliable checkpoint recovery in shared grid environments	claim
39	73	Supporting fault-tolerance for time-critical events in distributed environments	claim
40	73	Early performance evaluation of a "Nehalem" cluster using scientific and engineering applications	claim
41	72	Building the PolarGrid portal using web 2.0 and OpenSocial	claim
42	72	Cloud technologies for bioinformatics applications	claim
43	72	Space-efficient time-series call-path profiling of parallel applications	claim
44	71	A simulation toolkit to investigate the effects of grid characteristics on workflow completion time	claim
45	71	An integrated reduction technique for a double precision accumulator	claim
46	71	Memory-efficient optimization of Gyrokinetic particle-to-grid interpolation for multicore processors	claim
47	70	Robust workflows for science and engineering	claim
48	69	Ensemble dispatching on an IBM Blue Gene/L for a bioinformatics knowledge environment	claim
49	68	Evaluating use of data flow systems for large graph analysis	claim
50	67	Scalable temporal order analysis for large scale debugging	claim
51	66	Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation	claim
52	66	Comparative study of one-sided factorizations with multiple software packages on multi-core hardware	claim
53	65	Autotuning multigrid with PetaBricks	claim
54	65	Sparse matrix factorization on massively parallel computers	claim
55	65	Highly scalable genome assembly on campus grids	claim
56	65	FPGA-based acceleration of CHARMM-potential minimization	claim
57	65	Web 2.0-based social informatics data grid	claim
58	64	A framework for core-level modeling and design of reconfigurable computing algorithms	claim
59	63	A case for integrated processor-cache partitioning in chip multiprocessors	claim
60	63	Plasma fusion code coupling using scalable I/O services and scientific workflows	claim
61	63	Enhancing the earth system grid security infrastructure through single sign-on and autoprovisioning	claim
62	63	Enabling high-fidelity neutron transport simulations on petascale architectures	claim
63	63	Towards a framework for abstracting accelerators in parallel applications: experience with cell	claim
64	62	In cloud, do MTC or HTC service providers benefit from the economies of scale?	claim
65	62	Flexible cache error protection using an ECC FIFO	claim
66	61	Evaluating the impact of inaccurate information in utility-based scheduling	claim

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