An open source custom k-means generator for aws cloud fpga accelerators
Nowadays, FPGAs play an essential role in domain-specific hardware accelerators due to
their power efficiency and flexibility. Nevertheless, FPGA programming and deploying are …
their power efficiency and flexibility. Nevertheless, FPGA programming and deploying are …
Gene regulatory accelerators on cloud FPGA
J Costa Penha, L Bragança… - Concurrency and …, 2023 - Wiley Online Library
Gene regulatory networks (GRN) are dynamic models in time and space. These models are
used to predict diseases and in drugs research. GRN models are discrete, and Boolean …
used to predict diseases and in drugs research. GRN models are discrete, and Boolean …
A gpu/fpga-based k-means clustering using a parameterized code generator
The K-means algorithm is a method used for the unsupervised learning task of data
clustering. This work presents a K-means specific domain code generator capable of …
clustering. This work presents a K-means specific domain code generator capable of …
Check for Hardware-Software Co-design for Deep Neural Network Acceleration Yanwei Wang, Bingbing Li (), Lu Lu, Jiangwei Wang, Rengang Li, and Hongwei Kan
Y Wang, B Li, L Lu - … Conference, ICSS 2023, Harbin, China, May …, 2023 - books.google.com
Deep neural networks are widely utilized in many fields. However, the extensive
requirement of computation is usually difficult to meet to support network inference. Model …
requirement of computation is usually difficult to meet to support network inference. Model …
Hardware-Software Co-design for Deep Neural Network Acceleration
Y Wang, B Li, L Lu, J Wang, R Li, H Kan - International Conference on …, 2023 - Springer
Deep neural networks are widely utilized in many fields. However, the extensive
requirement of computation is usually difficult to meet to support network inference. Model …
requirement of computation is usually difficult to meet to support network inference. Model …
[PDF][PDF] Capability Aware Query Optimizer For An FPGA-Based Near-Data Processor
L Beena Gopalakrishnan Nair - 2021 - opus4.kobv.de
Due to the rapid growth of data, DBMS technology is under increased demands to satisfy
throughput and latency requisites. At the same time, exploring new strategies for coping with …
throughput and latency requisites. At the same time, exploring new strategies for coping with …
[PDF][PDF] VirtFun: Function Offload Methodology to Virtualized Environment
CA Petry, RJ de Azevedo - CS & IT Conference Proceedings, 2020 - csitcp.org
The use of virtual machines (VM) has become popular with substantial growth for both
personal and commercial use, especially supported by the progress of hardware and …
personal and commercial use, especially supported by the progress of hardware and …
[PDF][PDF] Instruction Set Design for Coarse-Grained Reconfigurable Architectures
In the last ten years, the demand for performance improvements in computing systems has
not fulfilled by CPU enhancements. A solution widely applied in different computing is the …
not fulfilled by CPU enhancements. A solution widely applied in different computing is the …
[PDF][PDF] Ferramentas para geração automática de aceleradores em plataformas heterogêneas de alto desempenho com FPGA
JC Penha - 2018 - locus.ufv.br
A era Big Data e a estagnação da evolução dos processadores devido aos desafios de
eficiência energética, motiva o surgimento de novas arquiteturas de domínios específicos …
eficiência energética, motiva o surgimento de novas arquiteturas de domínios específicos …