Results 11 to 20 of about 649,011 (340)
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption [PDF]
Micro, 2021 Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure offloading of computation to untrusted servers. Though it provides ideal security, FHE is expensive when executed in software, 4 to 5 orders of magnitude slower than ...
Axel S. Feldmann +8 more
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GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models [PDF]
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023 The remarkable capabilities and intricate nature of Artificial Intelligence (AI) have dramatically escalated the imperative for specialized AI accelerators.
Yonggan Fu +7 more
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CEPC Technical Design Report: Accelerator [PDF]
Radiation Detection Technology and Methods, 2023 The Circular Electron Positron Collider (CEPC) is a large scientific project initiated and hosted by China, fostered through extensive collaboration with international partners.
Jie Gao
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Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing [PDF]
International Conference on Architectural Support for Programming Languages and Operating Systems, 2023 Sparsity is a growing trend in modern DNN models. Existing Sparse-Sparse Matrix Multiplication (SpMSpM) accelerators are tailored to a particular SpMSpM dataflow (i.e., Inner Product, Outer Product or Gustavson's), which determines their overall ...
Francisco Munoz-Mart'inez +5 more
semanticscholar +1 more source
Photonic matrix multiplication lights up photonic accelerator and beyond
Light: Science & Applications, 2022 Matrix computation, as a fundamental building block of information processing in science and technology, contributes most of the computational overheads in modern signal processing and artificial intelligence algorithms.
Hailong Zhou +11 more
semanticscholar +1 more source
BTS: an accelerator for bootstrappable fully homomorphic encryption [PDF]
International Symposium on Computer Architecture, 2021 Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by providing computation on encrypted data (ciphertexts). HE is based on noisy encryption schemes in which noise accumulates as more computations are applied to the ...
Sangpyo Kim +6 more
semanticscholar +1 more source
HyGCN: A GCN Accelerator with Hybrid Architecture [PDF]
International Symposium on High-Performance Computer Architecture, 2020 Inspired by the great success of neural networks, graph convolutional neural networks (GCNs) are proposed to analyze graph data. GCNs mainly include two phases with distinct execution patterns.
Mingyu Yan +8 more
semanticscholar +1 more source
Bayesian optimization algorithms for accelerator physics [PDF]
Physical Review Accelerators and Beams, 2023 Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simulations.
Ryan Roussel +25 more
semanticscholar +1 more source
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design [PDF]
International Symposium on High-Performance Computer Architecture, 2022 Vision Transformers (ViTs) have achieved state-of-the-art performance on various vision tasks. However, ViTs’ self-attention module is still arguably a major bottleneck, limiting their achievable hardware efficiency and more extensive applications to ...
Haoran You +8 more
semanticscholar +1 more source
Piezoelectric Accelerator [PDF]
Scientific Reports, 2018 AbstractHere we propose the conception of small-size piezoelectric accelerator of charged particles that operates due to the piezoelectric effect at varying mechanical force applied to piezoelectrics in vacuum. The accelerating voltage and the energy of accelerated particles are estimated.
O. O. Ivashchuk +6 more
openaire +2 more sources