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11#
發(fā)表于 2025-3-23 11:17:44 | 只看該作者
12#
發(fā)表于 2025-3-23 15:13:30 | 只看該作者
13#
發(fā)表于 2025-3-23 19:52:53 | 只看該作者
Aroonwan Preutthipan,Teeradej Kuptanonnment require intensive computing power and normally take very long time to complete. To speedup the assembly and alignment process, this paper parallelizes the Euler sequence assembly and pair-wise/multiple sequence assembly, two important sequence assembly methods, and takes advantage of Computing
14#
發(fā)表于 2025-3-23 22:43:38 | 只看該作者
15#
發(fā)表于 2025-3-24 04:32:13 | 只看該作者
Haemolytic Disease: Clinical Diagnosiss’ information, and achieves routing within .(log.) hops. For each peer’s join or departure, .. can update the routing table within .(log.) messages with high probability. What distinguish .. from many other peer-to-peer data-sharing systems are its low computation cost and high routing efficiency i
16#
發(fā)表于 2025-3-24 10:33:53 | 只看該作者
17#
發(fā)表于 2025-3-24 10:44:14 | 只看該作者
https://doi.org/10.1007/978-3-319-18923-9position. A key issue is whether or not the services in a composite system can interact with each other “sensibly” and as orchestrated by the enclosing composition. In this paper, we introduce an approach where we can specify individual services’ interaction intentions, and check their compatibility
18#
發(fā)表于 2025-3-24 17:21:02 | 只看該作者
19#
發(fā)表于 2025-3-24 20:22:30 | 只看該作者
https://doi.org/10.1007/978-1-4684-2307-5 the computing clusters can also differ in size. The load in one cluster may be very high while the other clusters may have nothing running on the system. A higher throughput can be achieved if load balancing is added. In this paper, we propose a simple and efficient load balancing method to balance
20#
發(fā)表于 2025-3-25 03:07:02 | 只看該作者
Vega Grid: A Computer Systems Approach to Grid Researchlications. In this talk, the speaker will present an organization of grid computing problems into a metaphor of man-computer society, and pose several computer science questions. He will then highlight a computer systems approach used by the Vega Grid research team at Institute of Computing Technolo
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