Work

InTRRA: Inter-Task Resource-Repurposing Accelerator for Efficient Transformer Inference on FPGAs

Year: 2025

Type: conference-paper

Source: ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)

DOI: 10.1145/3706628.3708828

Authors: Zifan He, Hersh Gupta, Huifeng Ke, Jason Cong

Institution: University of California, Los Angeles

Language: English

Topic: Embedded Systems Design Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4407953528

FWCI: 1.797

Cites: 4

Cited by: 2

Related to: 10