A Static Task Scheduling Framework for Independent Tasks Accelerated Using a Shared Graphics Processing Unit. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (ICPADS, 2011)

GPU Resource Sharing and Virtualization on High Performance Computing Systems. - Teng Li 009; Vikram K. Narayana; Esam El-Araby; Tarek A. El-Ghazawi (ICPP, 2011)

Accelerated high-performance computing through efficient multi-process GPU resource sharing. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (Conf. Computing Frontiers, 2012)

Productivity of GPUs under different programming paradigms. - Maria Malik; Teng Li 009; Umar Sharif; Rabia Shahid; Tarek A. El-Ghazawi; Gregory B. Newby (Concurr. Comput. Pract. Exp., 2012)

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (Comput., 2013)

Symbiotic scheduling of concurrent GPU kernels for performance and energy optimizations. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (Conf. Computing Frontiers, 2014)

A Power-Aware Symbiotic Scheduling Algorithm for Concurrent GPU Kernels. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (ICPADS, 2015)

Efficient Resource Sharing Through GPU Virtualization on Accelerated High Performance Computing Systems. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (CoRR, 2015)

Reordering GPU Kernel Launches to Enable Efficient Concurrent Execution. - Teng Li 009; Vikram K. Narayana; Tarek A. El-Ghazawi (CoRR, 2015)

Sample-Efficient Neural Architecture Search by Learning Action Space. - Linnan Wang; Saining Xie; Teng Li 009; Rodrigo Fonseca; Yuandong Tian (CoRR, 2019)

PyTorch Distributed: Experiences on Accelerating Data Parallel Training. - Shen Li; Yanli Zhao; Rohan Varma; Omkar Salpekar; Pieter Noordhuis; Teng Li 009; Adam Paszke; Jeff Smith; Brian Vaughan; Pritam Damania; Soumith Chintala (Proc. VLDB Endow., 2020)

Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search. - Linnan Wang; Saining Xie; Teng Li 009; Rodrigo Fonseca; Yuandong Tian (IEEE Trans. Pattern Anal. Mach. Intell., 2022)