KLAP: Kernel launch aggregation and promotion for optimizing dynamic parallelism. - Izzat El Hajj; Juan Gómez-Luna; Cheng Li 014; Li-Wen Chang; Dejan S. Milojicic; Wen-mei W. Hwu (MICRO, 2016)

RAI: A Scalable Project Submission System for Parallel Programming Courses. - Abdul Dakkak; Carl Pearson; Cheng Li 014; Wen-mei W. Hwu (IPDPS Workshops, 2017)

SCOPE: C3SR Systems Characterization and Benchmarking Framework. - Carl Pearson; Abdul Dakkak; Cheng Li 014; Sarah Hashash; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2018)

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments. - Abdul Dakkak; Cheng Li 014; Simon Garcia De Gonzalo; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2018)

MLModelScope: Evaluate and Measure ML Models within AI Pipelines. - Abdul Dakkak; Cheng Li 014; Abhishek Srivastava; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2018)

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service. - Abdul Dakkak; Cheng Li 014; Simon Garcia De Gonzalo; Jinjun Xiong; Wen-Mei Hwu (CLOUD, 2019)

Accelerating reduction and scan using tensor core units. - Abdul Dakkak; Cheng Li 014; Jinjun Xiong; Isaac Gelado; Wen-Mei W. Hwu (ICS, 2019)

MLModelScope: Evaluate and Introspect Cognitive Pipelines. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (SERVICES, 2019)

Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects. - Carl Pearson; Abdul Dakkak; Sarah Hashash; Cheng Li 014; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (ICPE, 2019)

Challenges and Pitfalls of Reproducing Machine Learning Artifacts. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2019)

Across-Stack Profiling and Characterization of Machine Learning Models on GPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wei Wei 021; Lingjie Xu; Wen-Mei Hwu (CoRR, 2019)

AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers. - Wei Zhang 127; Wei Wei 021; Lingjie Xu; Lingling Jin; Cheng Li 014 (CoRR, 2019)

The Design and Implementation of a Scalable DL Benchmarking Platform. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2019)

The Design and Implementation of a Scalable Deep Learning Benchmarking Platform. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei W. Hwu (CLOUD, 2020)

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wei Wei 021; Lingjie Xu; Wen-Mei Hwu (IPDPS, 2020)

Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (IPDPS, 2020)

DLSpec: A Deep Learning Task Exchange Specification. - Abdul Dakkak; Cheng Li 014; Jinjun Xiong; Wen-mei W. Hwu (OpML, 2020)

DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (ICPE, 2020)

MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. - Abdul Dakkak; Cheng Li 014; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2020)

Performance benchmarking, analysis, and optimization of deep learning inference - Cheng Li 014 (2020)