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Robust GNN-based representation learning for HLS
The efficient and timely optimization of microarchitecture for a target application is hindered
by the long evaluation runtime of a design candidate, creating a serious burden. To tackle …
by the long evaluation runtime of a design candidate, creating a serious burden. To tackle …
Democratizing domain-specific computing
Democratizing Domain-Specific Computing Page 1 GENERAL-PURPOSE COMPUTERS
ARE widely used in our modern society. There were close to 24 million software …
ARE widely used in our modern society. There were close to 24 million software …
Towards a comprehensive benchmark for high-level synthesis targeted to FPGAs
High-level synthesis (HLS) aims to raise the abstraction layer in hardware design, enabling
the design of domain-specific accelerators (DSAs) like field-programmable gate arrays …
the design of domain-specific accelerators (DSAs) like field-programmable gate arrays …
Holistic Optimization Framework for FPGA Accelerators
Customized accelerators have transformed modern computing by enhancing energy
efficiency and performance through specialization. Field Programmable Gate Arrays play a …
efficiency and performance through specialization. Field Programmable Gate Arrays play a …
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Recent years have witnessed the growing popularity of domain-specific accelerators
(DSAs), such as Google's TPUs, for accelerating various applications such as deep learning …
(DSAs), such as Google's TPUs, for accelerating various applications such as deep learning …