Search Results - "Plank, James"

Construction of Partial MDS and Sector-Disk Codes With Two Global Parity Symbols by Blaum, Mario, Plank, James S., Schwartz, Moshe, Yaakobi, Eitan

“…Partial MDS (PMDS) codes are erasure codes combining local (row) correction with global additional correction of entries, while sector-disk (SD) codes are…”
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A Review of Spiking Neuromorphic Hardware Communication Systems by Young, Aaron R., Dean, Mark E., Plank, James S., Rose, Garrett S.

“…Multiple neuromorphic systems use spiking neural networks (SNNs) to perform computation in a way that is inspired by concepts learned about the human brain…”
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Computational Techniques for Investigating Information Theoretic Limits of Information Systems by Tian, Chao, Plank, James S., Hurst, Brent, Zhou, Ruida

“…Computer-aided methods, based on the entropic linear program framework, have been shown to be effective in assisting the study of information theoretic…”
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Efficient Encoding Schedules for XOR-Based Erasure Codes by Luo, Jianqiang, Shrestha, Mochan, Xu, Lihao, Plank, James S.

“…In data storage systems, it is crucial to protect data from loss due to failures. Erasure codes lay the foundation of this protection, enabling systems to…”
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Two-Level Private Information Retrieval by Zhou, Ruida, Tian, Chao, Sun, Hua, Plank, James S.

“…In the conventional robust <inline-formula> <tex-math notation="LaTeX">T </tex-math></inline-formula>-colluding private information retrieval (PIR) system, the…”
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The Raid-6 Liber8Tion Code by Plank, James S.

“…Large centralized and networked storage systems have grown to the point where the single fault tolerance provided by RAID-5 is no longer enough. RAID-6 storage…”
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Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design by Das, Hritom, Febbo, Rocco D., Rizzo, Charles P., Chakraborty, Nishith N., Plank, James S., Rose, Garrett S.

“…The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse…”
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Evaluating Neuron Models through Application-Hardware Co-Design by Schuman, Catherine D., Das, Hritom, Plank, James S., Aziz, Ahmedullah, Rose, Garrett S.

“…A key issue in the field of neuromorphic computing is how much inspiration to take from the brain in the im-plementation of neuromorphic hardware systems. For…”
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DANNA: A neuromorphic software ecosystem by Disney, Adam, Reynolds, John, Schuman, Catherine D., Klibisz, Aleksander, Young, Aaron, Plank, James S.

“…Architectures for neuromorphic computing have evolved to the point where a significant amount of software design and implementation is necessary for leveraging…”
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Analyzing Market-Based Resource Allocation Strategies for the Computational Grid by Wolski, Rich, Plank, James S., Brevik, John, Bryan, Todd

“…In this paper, the authors investigate G-commerce—computational economies for controlling resource allocation in computational Grid settings. They define…”
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Checkpointing for peta-scale systems: a look into the future of practical rollback-recovery by Elnozahy, E.N., Plank, J.S.

“…Over the past two decades, rollback-recovery via checkpoint-restart has been used with reasonable success for long-running applications, such as scientific…”
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The TENNLab Exploratory Neuromorphic Computing Framework by Plank, James S., Schuman, Catherine D., Bruer, Grant, Dean, Mark E., Rose, Garrett S.

“…Spiking, neuromorphic computing systems are in a period of active exploration by the computing community. While they feature computational expressiveness…”
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Diskless checkpointing by Plank, J.S., Kai Li, Puening, M.A.

“…Diskless Checkpointing is a technique for checkpointing the state of a long-running computation on a distributed system without relying on stable storage. As…”
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Extensions and enhancements for the DANNA neuromorphic architecture by Daffron, Christopher, Chan, Jason, Disney, Adam, Bechtel, Luke, Wagner, Ryan, Dean, Mark E., Rose, Garrett S., Plank, James S., Birdwell, J. Douglas, Schuman, Catherine D.

“…Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic systems that have been developed for hardware implementation. They feature highly adaptive and…”
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Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems by Schuman, Catherine D., Plank, James S., Bruer, Grant, Anantharaj, Jeremy

“…A key challenge for utilizing spiking neural networks or spiking neuromorphic systems for most applications is translating numerical data into spikes that are…”
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Two-Level Private Information Retrieval by Zhou, Ruida, Tian, Chao, Sun, Hua, Plank, James S.

“…In the conventional robust T -colluding private information retrieval (PIR) system, the user needs to retrieve one of the possible messages while keeping the…”
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An evolutionary optimization framework for neural networks and neuromorphic architectures by Schuman, Catherine D., Plank, James S., Disney, Adam, Reynolds, John

“…As new neural network and neuromorphic architectures are being developed, new training methods that operate within the constraints of the new architectures are…”
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Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control by Schuman, Catherine D., Rizzo, Charles P., Rose, Garrett S., Plank, James S.

“…Recurrent, sparse spiking neural networks have been explored in contexts such as reservoir computing and winner-take-all networks. However, we believe there is…”
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Note: Correction to the 1997 tutorial on Reed-Solomon coding by Plank, James S., Ding, Ying

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Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems by Schuman, Catherine D., Plank, James S., Rose, Garrett S., Parsa, Maryam

“…Neuromorphic computing is a broad, interdisciplinary field that spans across all levels of the compute stack, from applications and algorithms to devices and…”
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