Results 241 to 250 of about 132,184 (282)

Falconer

Proceedings of the 19th international conference on World wide web, 2010
Falconer is a semantic Web search engine enhanced SIOC (Semantically-Interlinked Online Communities) application, which is designed to demonstrate the ability of accelerating the creation and reuse process of semantic Web data with easy-to-use user interfaces.
Gang Wu, Mengdong Yang, Ke Wu, Guilin Qi, Yuzhong Qu   +4 more
openaire   +1 more source

FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding OptimizatioN

IEEE International Conference on Multimedia and Expo
Recently, large language models (LLMs) have achieved significant progress in automated code generation. Despite their strong instruction-following capabilities, these models frequently struggled to align with user intent in the coding scenario.
Zeyuan Li, Yangfan He, Lewei He, Jianhui Wang, Tianyu Shi, Bin Lei, Yuchen Li, Qiuwu Chen   +7 more
semanticscholar   +1 more source

FALCON

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2009
In Fine-Grained Cycle Sharing (FGCS) systems, machine owners voluntarily share their unused CPU cycles with guest jobs, as long as their performance degradation is tolerable. However, unpredictable evictions of guest jobs lead to fluctuating completion times. Checkpoint-recovery is an attractive mechanism for recovering from such "failures".
Islam, Tanzima Zerin, Bagchi, Saurabh, Eigenmann, Rudolf   +2 more
openaire   +2 more sources

Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree

AAAI Conference on Artificial Intelligence
Striking an optimal balance between minimal drafting latency and high speculation accuracy to enhance the inference speed of Large Language Models remains a significant challenge in speculative decoding.
Xiangxiang Gao, Weisheng Xie, Yiwei Xiang, Feng Ji   +3 more
semanticscholar   +1 more source

A Hardware-Software Co-Design for the Discrete Gaussian Sampling of FALCON Digital Signature

IEEE International Symposium on Hardware Oriented Security and Trust
Sampling random values from a discrete Gaussian distribution with high precision is a major and computationally-intensive operation of emerging and existing cryptographic standards.
E. Karabulut, Aydin Aysu
semanticscholar   +1 more source

High Throughput Lattice-Based Signatures on GPUs: Comparing Falcon and Mitaka

IEEE Transactions on Parallel and Distributed Systems
The US National Institute of Standards and Technology initiated a standardization process for post-quantum cryptography in 2017, with the aim of selecting key encapsulation mechanisms and signature schemes that can withstand the threat from emerging ...
W. Lee, Raymond K. Zhao, Ron Steinfeld, A. Sakzad, Seong Oun Hwang   +4 more
semanticscholar   +1 more source

Hardware Accelerators for Digital Signature Algorithms Dilithium and FALCON

IEEE design & test
Editor’s notes: The standardization of postquantum digital signature schemes has put Dilithium and FALCON at the forefront of quantum-safe digital ecosystems.
Luke Beckwith, D. Nguyen, K. Gaj
semanticscholar   +1 more source

PEREGRINE FALCON

1978
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire   +1 more source

FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training

arXiv.org
Fail-slows, or stragglers, are common but largely unheeded problems in large-scale hybrid-parallel training that spans thousands of GPU servers and runs for weeks to months.
Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang   +9 more
semanticscholar   +1 more source

RVCE-FAL: A RISC-V Scalar-Vector Custom Extension for Faster FALCON Digital Signature

Design, Automation and Test in Europe
The National Institute of Standards and Technology (NIST) has selected FALCON as one of the standardized digital signature algorithms against quantum attacks in 2022.
Xinglong Yu, Yi Sun, Yifan Zhao, Honglin Kuang, Jun Han   +4 more
semanticscholar   +1 more source