Caleb Terrill

According to our database, Caleb Terrill authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LDPC Decoding With Degree-Specific Neural Message Weights and RCQ Decoding.

Linfang Wang, Caleb Terrill, Dariush Divsalar, Richard D. Wesel

IEEE Trans. Commun., April, 2024

Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection.

Ross Daly, Caleb Donovick, Caleb Terrill, Jackson Melchert, Priyanka Raina, Clark W. Barrett, Pat Hanrahan

CoRR, 2024

If Layering is useful, why not Sublayering?

Rathin Singha, Rishabh R. Iyer, Charles Liu, Caleb Terrill, Todd D. Millstein, Scott Shenker, George Varghese

Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, 2024

2022

Reconstruction-Computation-Quantization (RCQ): A Paradigm for Low Bit Width LDPC Decoding.

Linfang Wang, Caleb Terrill, Maximilian Stark, Zongwang Li, Sean Chen, Chester Hulse, Calvin Kuo, Richard D. Wesel, Gerhard Bauch, Rekha Pitchumani

IEEE Trans. Commun., 2022

2021

BEANNA: A Binary-Enabled Architecture for Neural Network Acceleration.

Caleb Terrill, Fred Chu

CoRR, 2021

FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing.

Caleb Terrill, Linfang Wang, Sean Chen, Chester Hulse, Calvin Kuo, Richard D. Wesel, Dariush Divsalar

Proceedings of the IEEE Global Communications Conference, 2021