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MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torusa
Design Automation Conference, 2022Fully Homomorphic Encryption over the Torus (TFHE) allows arbitrary computations to happen directly on ciphertexts using homomorphic logic gates. However, each TFHE gate on state-of-theart hardware platforms such as GPUs and FPGAs is extremely slow ($\lt
Lei Jiang, Qian Lou, Nrushad Joshi
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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 ...
openaire +2 more sources
MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product
Micro, 2020Sparse-sparse matrix multiplication (SpGEMM) is a computation kernel widely used in numerous application domains such as data analytics, graph processing, and scientific computing.
Nitish Srivastava +4 more
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Accelerating Learning About Accelerators
2018This book presents a range of observations about impact-oriented accelerators and the entrepreneurs and ventures that they attract and sometimes work with. Relying on data collected through the many programs that partnered with the EDP from 2013 to 2017, these observations provide consistent evidence that accelerators are influencing short-term ...
Peter W. Roberts, Saurabh A. Lall
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Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology
Micro, 2017Many important applications trigger bulk bitwise operations, i.e., bitwise operations on large bit vectors. In fact, recent works design techniques that exploit fast bulk bitwise operations to accelerate databases (bitmap indices, BitWeaving) and web ...
Vivek Seshadri +9 more
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Can Accelerators Accelerate Learning?
AIP Conference Proceedings, 2009The ‘Young Talented’ education program developed by the Brazilian State Funding Agency (FAPERJ) [1] makes it possible for high‐schools students from public high schools to perform activities in scientific laboratories. In the Atomic and Molecular Physics Laboratory at Federal University of Rio de Janeiro (UFRJ), the students are confronted with modern ...
A. C. F. Santos +4 more
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1987
The acceleration principle holds that the demand for capital goods is a derived demand and that changes in the demand for output lead to changes in the demand for capital stock and, hence, lead to investment. The flexible accelerator, which includes both demand and supply elements, allows for lags in the adjustment of the actual capital stock towards ...
Junankar, Pramod N. +2 more
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The acceleration principle holds that the demand for capital goods is a derived demand and that changes in the demand for output lead to changes in the demand for capital stock and, hence, lead to investment. The flexible accelerator, which includes both demand and supply elements, allows for lags in the adjustment of the actual capital stock towards ...
Junankar, Pramod N. +2 more
openaire +2 more sources
Accelerated entropy estimates with accelerated dynamics
The Journal of Chemical Physics, 2007Accelerated dynamics is applied to entropy calculations on a set of toy and molecular systems and is found to enhance the rate of convergence.
David D L, Minh +2 more
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ExTensor: An Accelerator for Sparse Tensor Algebra
Micro, 2019Generalized tensor algebra is a prime candidate for acceleration via customized ASICs. Modern tensors feature a wide range of data sparsity, with the density of non-zero elements ranging from 10-6% to 50%.
Kartik Hegde +7 more
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Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
IEEE Journal of Solid-State Circuits, 2016Yu-hsin Chen +3 more
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