MemoryIO, a sort of extended I/O in embedded systems, is presented in this paper. MemoryIO makes it powerful for embedded systems to achieve the high-performance interconnect. In view of the facts that the main memory...
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MemoryIO, a sort of extended I/O in embedded systems, is presented in this paper. MemoryIO makes it powerful for embedded systems to achieve the high-performance interconnect. In view of the facts that the main memory system is absolutely necessary in any embedded system, and not all embedded systems integrate HyperTransport (HT), PCI Express or RapidIO interface, the MemoryIO based interconnect in embedded systems has more universalities compared with that based on HT, PCI Express or RapidIO. MemoryIO can not only thoroughly compensates for the lack of high performance data transfer channel, but also efficiently utilizes the memory bus bandwidth and the direct memory access (DMA) engine to reduce the latency for data transfer in embedded systems. This paper discusses some key technologies of MemoryIO, and presents its application in DCNet and the implementation of MemoryIO IP core. The MemoryIO technology can be used in various systems, but not limited to embedded systems.
An effective workload distribution has a prime rule on reducing the total execution time of a parallel application on heterogeneous environments, such as computational grids and heterogeneous clusters. This paper pres...
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ISBN:
(纸本)9780769532578
An effective workload distribution has a prime rule on reducing the total execution time of a parallel application on heterogeneous environments, such as computational grids and heterogeneous clusters. This paper presents two approaches to workload distribution based on analytical models developed to performance prediction of parallel applications, named VRP and VRP-SS. The workload is distributed based on relative performance ratios, obtained by analytical models constructed according to the rules described in the PEMPIs methodology. In the experimental tests we evaluated the strategies and compared them using MPI applications. The results showed the efficiency of our strategies by reducing the total execution time and improving the workload balance.
The upcoming reconfigurable video coding (RVC) standard from MPEG (ISO/IEC SC29WG11) defines a library of coding tools to specify existing or new compressed video formats and decoders. The coding tool library has been...
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The upcoming reconfigurable video coding (RVC) standard from MPEG (ISO/IEC SC29WG11) defines a library of coding tools to specify existing or new compressed video formats and decoders. The coding tool library has been written in a dataflow/actor-oriented language named CAL. Each coding tool can be represented with an extended finite state machine and the dependencies between the tools are described as dataflow graphs. This paper proposes an approach to derive a multiprocessor execution schedule for RVC systems that are comprised of CAL actors. In addition to proposing a scheduling approach for RVC, an extension to the well-known permutation flow shop scheduling problem that enables rapid run-time scheduling of RVC tasks is introduced.
In order to provide high resource utilization and QoS assurance inutility computing hosting concurrently various services, this paper proposes aservice computing framework-RAINBOW for VM(Virtual Machine)-basedutility ...
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ISBN:
(纸本)9783540898931
In order to provide high resource utilization and QoS assurance inutility computing hosting concurrently various services, this paper proposes aservice computing framework-RAINBOW for VM(Virtual Machine)-basedutility computing. In RAINBOW, we present a priority-based resourcescheduling scheme including resource flowing algorithms (RFaVM) to optimizeresource allocations amongst services. The principle of RFaVM is preferentiallyensuring performance of some critical services by degrading of others to someextent when resource competition arises. Based on our prototype, we evaluateRAINBOW and RFaVM. The experimental results show that RAINBOWwithout RFaVM provides 28%-324% improvements in service performance,and 26% higher the average CPU utilization than traditional service computingframework (TSF) in typical enterprise environment. RAINBOW with RFaVMfurther improves performance by 25%-42% for those critical services whileonly introducing up to 7% performance degradation to others, with 2%-8%more improvements in resource utilization than RAINBOW without RFaVM.
We present an analysis of the feasibility of executing a parallel bioinspired model of laser dynamics, based on cellular automata (CA), on the usual target platform of this kind of applications: a heterogeneous non-de...
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Superimpose one protein tertiary structure to another can help to find similarity between them and further identify functional and evolutionary relationships. We first extract invariant features under rigid body trans...
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Storage area networks (SANs) based on fibre channel have been used extensively in the last decade while iSCSI is fast becoming a serious contender due to its reduced costs and unified infrastructure. This work examine...
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Storage area networks (SANs) based on fibre channel have been used extensively in the last decade while iSCSI is fast becoming a serious contender due to its reduced costs and unified infrastructure. This work examines the performance of iSCSI with multiple TCP connections. Multiple TCP connections are often used to realize higher bandwidth but there may be no fairness in how bandwidth is distributed. We propose a mechanism to share congestion information across multiple flows in "Fair-TCP" for improved performance. Our results show that Fair-TCP significantly improves the performance for I/O intensive workloads.
Structure alignment could help to find shape similarities between proteins and guide structure classification and fold recognition. Common substructure detection and extraction are especially important, for which coul...
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ISBN:
(纸本)9781424415786
Structure alignment could help to find shape similarities between proteins and guide structure classification and fold recognition. Common substructure detection and extraction are especially important, for which could guide the biologist to discover binding site or active site. We represent each segment of alpha-carbon backbone by using dihedral angles and curve moment invariants. Then, local and global structure alignment could be performed by iterative closest point algorithm. Maximum common substructures between a pair of proteins or within a protein could be found. Active sites also could be detected by the proposed algorithm.
This paper presents the implementation of ARQ-PROP II, a limited-depth propositional reasoner, via the compilation of its specification into an exact formulation using the satyrus platform. satyrus' compiler takes...
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