Abdul Dakkak

According to our database, Abdul Dakkak authored at least 25 papers between 2014 and 2021.

Collaborative distances:

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

2021

FFT blitz: the tensor cores strike back.

Sultan Durrani, Muhammad Saad Chughtai, Abdul Dakkak, Wen-Mei Hwu, Lawrence Rauchwerger

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles.

Sultan Durrani, Muhammad Saad Chughtai, Mert Hidayetoglu, Rashid Tahir, Abdul Dakkak, Lawrence Rauchwerger, Fareed Zaffar, Wen-Mei W. Hwu

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

Compiling high-level scripting languages to performant code

Abdul Dakkak

PhD thesis, 2020

MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale.

Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu

CoRR, 2020

DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

DLSpec: A Deep Learning Task Exchange Specification.

Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei W. Hwu

Proceedings of the 2020 USENIX Conference on Operational Machine Learning, 2020

Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

The design and implementation of the wolfram language compiler.

Abdul Dakkak, Tom Wickham-Jones, Wen-Mei Hwu

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

The Design and Implementation of a Scalable Deep Learning Benchmarking Platform.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

The Design and Implementation of a Scalable DL Benchmarking Platform.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu

CoRR, 2019

Across-Stack Profiling and Characterization of Machine Learning Models on GPUs.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu

CoRR, 2019

Challenges and Pitfalls of Reproducing Machine Learning Artifacts.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu

CoRR, 2019

Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects.

Carl Pearson, Abdul Dakkak, Sarah Hashash, Cheng Li, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu

Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

MLModelScope: Evaluate and Introspect Cognitive Pipelines.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu

Proceedings of the 2019 IEEE World Congress on Services, 2019

Accelerating reduction and scan using tensor core units.

Abdul Dakkak, Cheng Li, Jinjun Xiong, Isaac Gelado, Wen-Mei W. Hwu

Proceedings of the ACM International Conference on Supercomputing, 2019

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service.

Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei Hwu

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018

MLModelScope: Evaluate and Measure ML Models within AI Pipelines.

Abdul Dakkak, Cheng Li, Abhishek Srivastava, 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, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei W. Hwu

CoRR, 2018

SCOPE: C3SR Systems Characterization and Benchmarking Framework.

Carl Pearson, Abdul Dakkak, Cheng Li, Sarah Hashash, Jinjun Xiong, Wen-Mei W. Hwu

CoRR, 2018

2017

RAI: A Scalable Project Submission System for Parallel Programming Courses.

Abdul Dakkak, Carl Pearson, Cheng Li, Wen-mei W. Hwu

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

A programming system for future proofing performance critical libraries.

Li-Wen Chang, Izzat El Hajj, Hee-Seok Kim, Juan Gómez-Luna, Abdul Dakkak, Wen-mei W. Hwu

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

WebGPU: A Scalable Online Development Platform for GPU Programming Courses.

Abdul Dakkak, Carl Pearson, Wen-mei W. Hwu

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Enhancing the Usability and Utilization of Accelerated Architectures via Docker.

Nicholas Haydel, Sandra Gesing, Ian J. Taylor, Gregory R. Madey, Abdul Dakkak, Simon Garcia De Gonzalo, Wen-mei W. Hwu

Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

2014

Triolet: a programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing.

Christopher I. Rodrigues, Thomas B. Jablin, Abdul Dakkak, Wen-mei W. Hwu

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2014