Oct 16, 2020 · A series of workflows are developed to establish the performance capabilities of FPGAs as a service. Multiple different devices and a range of ...
We present the FPGAs-as-a-Service Toolkit (FaaST) for integrating FPGA-based machine learning (ML) inference as a service into scientific workflows. We have ...
Oct 16, 2020 · We present the FPGAs-as-a-service toolkit (FaaST) for integrating FPGA-based machine learning (ML) inference as a service into scientific ...
This work represents the first open-source FPGAs-as-a-service toolkit and shows that for large convolutional networks, the throughput is found to be ...
Oct 16, 2020 · We present case studies and results in inferencing state-of-the-art DNN models for scientific data analysis, using Intel distribution of ...
Sep 8, 2024 · A series of workflows are developed to establish the performance capabilities of FPGAs as a service. Multiple different devices and a range of ...
FPGAs have been used via an IaaS scheme through the FPGAs-as-a-Service Toolkit (FaaST) [79] , demonstrating the dramatic acceleration of a small neural net for ...
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○ FPGAs-as-a-Service Toolkit (FaaST). ○ GPU coprocessors as a service for · deep learning inference in high · energy physics. ○ GPU-accelerated machine ...
We demonstrate that the acceleration of machine learning inference as a web service represents a heterogeneous computing solution for particle physics ...
FPGAs-as-a-Service Toolkit (FaaST), arXiv:2010.08556, 2020. GPU-accelerated machine learning inference as a service for computing in neutrino experiments ...
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