Search Results for High performance computing.

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Split Latency Allocator: Process Variation-Aware Register Access Latency Boost in a Near-Threshold Graphics Processing Unit

Pal, Asmita, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829245

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, operating GPUs at NTC seems like a plausible solution to counteract the high energy consumption. This work

Design of Photonic Network-on-Chip Architectures Using Multilevel Signaling and Link Allocation Pareto-Optimization

Kao, Tzyy-Juin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10746817

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computing domains. Performance gains due to the parallel processing will come from the proliferation of

Spintronic-based Logic-in-Memory Computation for Energyaware Neuromorphic System

Famili, Azadeh G., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10808989

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computing. The idea behind Spintronics is to take advantage of the electron's spin angular momentum to make

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

Cai, Ermao, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10827562

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domain knowledge to learn the performance, power, and energy models for high-performance computing

Improving Efficiency to Advance Resilient Computing

Li, Ji, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10746494

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Resilience is a major roadblock for high-performance computing (HPC) executions on future exascale

Disk-to-disk Data Transfer using a Software Defined Networking Solution

Zulfiqar, Junaid, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10810332

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-to-disk" data transfer. For production high performance computing facilities, specialized high throughput data

Hardware and Software Accelerators for Big Data Machine Learning Workloads

Nitin, Nitin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10272218

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demands newer solutions in software (SW) and in hardware (HW) to enable high performance systems. In this

An Environment for Accessing Remote Field-Programmable Custom Computing Machine Accelerators with Multi-Memory Banks

Jadhav, Shrikant Shridhar, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10750895

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achieve an order-of-magnitude speedup of High-Performance Computing (HPC) applications. An FCCM, within

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