CLUSTER 2007 - PDF Preprint Papers

CLUSTER 2007 IEEE International Conference on Cluster Computing

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CLUSTER
2007
IEEE

190views Distributed And Parallel Com...» more CLUSTER 2007»

Dynamic scheduling of multi-processor tasks on clusters of clusters

13 years 10 months ago

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— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At ﬁrst, we outline the need of such a scheduling approach...

Sascha Hunold, Thomas Rauber, Gudula Rünger

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Id	Views	Title	Status

1	190	Dynamic scheduling of multi-processor tasks on clusters of clusters	claim
2	177	The computer as software component: A mechanism for developing and testing resource management software	claim
3	175	Balancing productivity and performance on the cell broadband engine	claim
4	171	Analyzing the performance of optical multistage interconnection networks with limited crosstalk	claim
5	168	High performance virtual machine migration with RDMA over modern interconnects	claim
6	159	Efficient asynchronous memory copy operations on multi-core systems and I/OAT	claim
7	158	Building the communication performance model of heterogeneous clusters based on a switched network	claim
8	154	The design of MPI based distributed shared memory systems to support OpenMP on clusters	claim
9	150	Anomaly localization in large-scale clusters	claim
10	146	Improving system efficiency through scheduling and power management	claim
11	146	Anonymous communications in the Internet	claim
12	140	Non-collective parallel I/O for global address space programming models	claim
13	135	FlexRPC: A flexible Remote Procedure Call facility for modern cluster file systems	claim
14	132	Transparent system-level migration of PGAS applications using Xen on InfiniBand	claim
15	132	Effects of packet pacing for MPI programs in a Grid environment	claim
16	131	Towards an integrated IO and clustering solution using PCI express	claim
17	127	Evaluation of fault-tolerant policies using simulation	claim
18	127	Identifying energy-efficient concurrency levels using machine learning	claim
19	126	Sequential and parallel implementation of a constraint-based algorithm for searching protein structures	claim
20	125	Red storm IO performance analysis	claim
21	124	Blutopia: Stackable storage for cluster management	claim
22	123	A feasibility analysis of power-awareness and energy minimization in modern interconnects for high-performance computing	claim
23	120	Security-driven scheduling for data-intensive applications on grids	claim
24	119	A Comparison of robustness metrics for scheduling DAGs on heterogeneous systems	claim
25	118	Dynamic Virtual Clustering	claim
26	118	Optimal synchronization frequency for dynamic pipelined computations on heterogeneous systems	claim
27	118	Meta-communications in component-based communication frameworks for grids	claim
28	117	Combining data sharing with the master-worker paradigm in the common component architecture	claim
29	116	Scheduling malleable applications in multicluster systems	claim
30	114	Cost-aware scheduling for heterogeneous enterprise machines (CASH'EM)	claim
31	114	Thermal-aware task scheduling for data centers through minimizing heat recirculation	claim
32	109	The challenges and rewards of petascale clusters	claim
33	109	Identifying sources of Operating System Jitter through fine-grained kernel instrumentation	claim
34	109	Evaluating memory energy efficiency in parallel I/O workloads	claim
35	108	High throughput grid computing with an IBM Blue Gene/L	claim
36	105	Comparison and tuning of MPI implementations in a grid context	claim
37	105	Complexity results for throughput and latency optimization of replicated and data-parallel workflows	claim
38	105	Network performance model for TCP/IP based cluster computing	claim
39	105	Runtime system support for software-guided disk power management	claim
40	105	Malleable applications for scalable high performance computing	claim
41	102	Predictive performance modelling of parallel component compositions	claim
42	97	Performance analysis of a user-level memory server	claim
43	96	Scalable, fault-tolerant management of Grid Services	claim
44	95	Zero-copy protocol for MPI using infiniband unreliable datagram	claim
45	92	Efficient offloading of collective communications in large-scale systems	claim
46	91	Multi-criteria scheduling of pipeline workflows	claim
47	90	Satisfying your dependencies with SuperMatrix	claim
48	90	CHAF - an object-oriented framework for configuring applications in a clustered environment	claim
49	87	Enabling JaSkel skeletons for clusters and computational Grids	claim
50	79	Taste of AOP : Blending concerns in cluster computing software	claim
51	77	NEKTAR, SPICE and Vortonics: using federated grids for large scale scientific applications	claim

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