The performance impact analysis of loop unrolling

By Goran Velkoski, M. Gusev, Sasko Ristov. 2014

9 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Hardware and Architecture, Optimization & Training

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yuxiong He
2. Samyam Rajbhandari
3. Minjia Zhang
4. Jie Ren
5. Olatunji Ruwase
6. Reza Yazdani Aminabadi
7. Dan Alistarh
8. Elias Frantar

In Hardware and Architecture

1. Yuxiong He
2. Olatunji Ruwase
3. Jared Casper
4. Mohammad Shoeybi
5. Bryan Catanzaro
6. Vijay Anand Korthikanti
7. Jie Tang

In Optimization & Training

1. Yuxiong He
2. Olatunji Ruwase
3. Samyam Rajbhandari
4. Reza Yazdani Aminabadi
5. Minjia Zhang

Citations in the corpus

• ZeRO-Offload: Democratizing Billion-Scale Model Training (2021, background): “2) Loop unrolling [31], an effective technique for increasing instruction level parallelism that is crucial for better memory bandwidth utilization.”