Improving Scalability of Exact Modulo Scheduling with Specialized Conflict-Driven Learning

Author:

Dai Steve1,Zhang Zhiru2

Affiliation:

1. School of Electrical and Computer Engineering, Cornell University, Ithaca, NY and NVIDIA, Santa Clara, CA

2. NVIDIA, Santa Clara, CA

Funder

Semiconductor Research Corporation

Xilinx Inc.

National Science Foundation

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. BLOOP: Boolean Satisfiability-based Optimized Loop Pipelining;ACM Transactions on Reconfigurable Technology and Systems;2023-07-27

2. HECTOR;Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design;2022-10-30

3. Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs;Lecture Notes in Computer Science;2022

4. FPGA-Specific Compilers;Handbook of Computer Architecture;2022

5. Non-iterative SDC modulo scheduling for high-level synthesis;Microprocessors and Microsystems;2021-10

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