Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Network Contention"”.
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Energy scalability of on-chip interconnection networks
On-chip interconnection networks (OCN) such as point-to-point networks and buses form the communication backbone in multiprocessor systems-on-a-chip, multicore processors, and tiled processors. OCNs consume significant portions of a chip's energy budget, so their energy analysis early in the design …
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A Study of Improving the Parallel Performance of VASP.
… after about 17 processing elements (PEs), due to network contention. Subsequent modifications that restrict communication amongst VASP processes, together with additional support for threading, allowed VASP to scale up to 112 PEs, the maximum number that was tested. Other performance-enhancing …
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Reducing communication in sparse solvers
… messages on-node before injecting into the network, reducing the amount of costly inter-node communication. This node-aware communication yields improvements to both performance and scalability of matrix operations, particularly in strong scaling studies. Furthermore, we show an improvement …
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Robustness and Optimality in CSMA Wireless Networks
In today's widely diffused CSMA wireless networks, problems of coordination in the access to the channel by multiple transmitters can lead to unfair situations where some of the flows receive much of the network throughput while others suffer from poor performance. As a solution to this problem, …
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Towards efficient and reliable infrastructure for machine learning
… enabling resource disaggregation, and resolving network contention that arises in disaggregated systems. INDIGO addresses memory disaggregation challenges through network-aware page migration. The system uses contextual multi-armed bandits trained on historical application data to make migration …
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Accelerating Distributed Deep Neural Network Training and Fine-Tuning Through Resource Interleaving
… scheduling as a critical approach to optimizing network utilization in ML clusters. We introduce a key idea for accelerating Deep Neural Network (DNN) jobs that interleaves the communication demands of different jobs sharing a network link. To illustrate this concept of interleaving, we first …
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On the Interaction of High-Performance Network Protocol Stacks with Multicore Architectures
… With significant enhancements in high-speed networking technologies and protocol stacks which support these high-end systems, a growing need to understand the interaction between them closely is realized. Since these two components have been designed mostly independently, there tend to have …