Heterogeneous parallel systems have become popular in general purpose computing and even high performance computing fields. there are many studies focused on harnessing heterogeneous parallel processing for better per...
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GPUs render higher computing unit density than contemporary CPUs and thus exhibit much higher power consumption despite its higher power efficiency. the power consumption has become an important issue that impacts GPU...
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ISBN:
(纸本)9780769546001
GPUs render higher computing unit density than contemporary CPUs and thus exhibit much higher power consumption despite its higher power efficiency. the power consumption has become an important issue that impacts GPU's applications, thereby necessitating the low power optimization technology for GPUs. Software prefetching is an efficient way to alleviate the memory wall problem which overlaps the computing and memory access latencies. However, software prefetching will cause some power overhead because it increases the number and density of the instructions. thus, we should consider the balance between the performance income and the power overhead when applying the optimization. To address this problem, in this paper we first analyze the multi-thread execution model of GPU and validate the potential space of software prefetching optimization. then we give the software prefetching method for GPU programs to improve the performance. Aiming at two different objects: energy optimization under performance constraint and performance optimization under power constraint, we discuss the optimization methods based on software prefetching and dynamic voltage scaling technologies. the experimental results show that our method can efficiently optimize the energy consumption(performance) under the performance(power) constraint.
Reliability and security are properties which are required by any computing system. this paper will describe modern trends in distributed file systems (DFS) oriented on reliability and security in these systems. the f...
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We present PermiSTM, a single-version STM that satisfies a practical notion of permissiveness, usually associated with keeping many versions: it never aborts read-only transactions, and it aborts other transactions on...
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ISBN:
(纸本)9783642176784
We present PermiSTM, a single-version STM that satisfies a practical notion of permissiveness, usually associated with keeping many versions: it never aborts read-only transactions, and it aborts other transactions only due to a conflicting transaction (which writes to a common item), thereby avoiding spurious aborts. It avoids unnecessary contention on the memory, being strictly disjoint-access parallel.
A task migration scheme for homogeneous chip multiprocessors (CMP) is presented in this paper. the proposed migration mechanism focuses on the communication sub-system and aims to reduce the total power consumption an...
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Self-organized Invasive parallel Optimization (SIPO) is a new framework for solving optimization problems on parallel platforms. In contrast to existing approaches, the resources in SIPO are self-organized and represe...
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Application-level protocol specifications are helpful for network security management, including intrusion detection and intrusion prevention which rely on monitoring technologies such as deep packet inspection. Moreo...
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In this paper we propose a parallel tabu search algorithm based on the consecutive tabu algorithm constructed by us earlier to solve the problem of the distributed database optimal logical structure synthesis. Also we...
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In this paper we propose a parallel tabu search algorithm based on the consecutive tabu algorithm constructed by us earlier to solve the problem of the distributed database optimal logical structure synthesis. Also we provide a reader with some information about the performance of our new parallel algorithm and the quality of the solutions obtained with help of it.
Abductive inference has many known applications in multi-agent systems including planning, scheduling, policy analysis and sensing data interpretation. However, most abductive frameworks rely on a centrally executed p...
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ISBN:
(纸本)9783642207143
Abductive inference has many known applications in multi-agent systems including planning, scheduling, policy analysis and sensing data interpretation. However, most abductive frameworks rely on a centrally executed proof procedure whereas many of the application problems are distributed by nature. Confidentiality and communication overhead concerns often preclude agents' knowledge from being centralised. We present in this paper a distributed abductive reasoning framework with a flexible and extensible proof procedure that permits collaborative abductive reasoning between agents over decentralised knowledge. the proof procedure is sound and complete upon termination, and can perform concurrent computation. To the best of our knowledge, this is the first distributed abductive system that can compute non-ground conditional proofs and handle arithmetic constraints.
In this paper we investigate the problem of gathering the data in wireless sensor network using a single Mobile Element. In particular we consider the case where the data are produced by measurements and they need to ...
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