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The design of startup accelerators
Research Policy, 2019Accelerator programs are an increasingly important part of entrepreneurial ecosystems. While accelerators have core defining features—fixed-term, cohort-based educational and mentorship programs for startups— there is also significant variation amongst ...
Susan L. Cohen +3 more
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MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects
International Conference on Architectural Support for Programming Languages and Operating Systems, 2018Deep neural networks (DNN) have demonstrated highly promising results across computer vision and speech recognition, and are becoming foundational for ubiquitous AI.
Hyoukjun Kwon, A. Samajdar, T. Krishna
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Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2021High accuracy and ever-increasing computing power have made deep neural networks (DNNs) the algorithm of choice for various machine learning, computer vision, and image processing applications across the computing spectrum.
Shamik Kundu +4 more
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A survey on modeling and improving reliability of DNN algorithms and accelerators
Journal of systems architecture, 2020As DNNs become increasingly common in mission-critical applications, ensuring their reliable operation has become crucial. Conventional resilience techniques fail to account for the unique characteristics of DNN algorithms/accelerators, and hence, they ...
Sparsh Mittal
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To accelerate or not to accelerate? That is the question
The Physics Teacher, 2010Thanks to Jim Hicks, Barrington High School, and Jaime Stasiorowski and Kristen Piggott, Deerfield High School, for their help with this month's column. If you have a YouTube video you use in class, please send the link and a brief description to: driendeau@dist113.org.
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DSAGEN: Synthesizing Programmable Spatial Accelerators
International Symposium on Computer Architecture, 2020Domain-specific hardware accelerators can provide orders of magnitude speedup and energy efficiency over general purpose processors. However, they require extensive manual effort in hardware design and software stack development.
Jian Weng +5 more
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DNNBuilder: an Automated Tool for Building High-Performance DNN Hardware Accelerators for FPGAs
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018Building a high-performance FPGA accelerator for Deep Neural Networks (DNNs) often requires RTL programming, hardware verification, and precise resource allocation, all of which can be time-consuming and challenging to perform even for seasoned FPGA ...
Xiaofan Zhang +6 more
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Cancer, 1985
In the first third of this century, the prevailing concept was that malignant cells had a brief period of sensitivity and radiation treatments were ideally given in overall times of 2 weeks or less. Following the Second World War, routine treatment times were extended to 5 to 8 weeks to avoid severe acute normal tissue reactions and achieve higher ...
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In the first third of this century, the prevailing concept was that malignant cells had a brief period of sensitivity and radiation treatments were ideally given in overall times of 2 weeks or less. Following the Second World War, routine treatment times were extended to 5 to 8 weeks to avoid severe acute normal tissue reactions and achieve higher ...
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Accelerators: An Assessment of Acceleration Models
Academy of Management Proceedings, 2017Accelerators assist early-stage ventures by offering networking opportunities, access to funding and training.
Carlos M. DaSilva, Pascal Gurtner
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