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ORCIDAbdul Dakkak
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2020 – today
- 2021
[c17]Sultan Durrani, Muhammad Saad Chughtai, Mert Hidayetoglu, Rashid Tahir, Abdul Dakkak, Lawrence Rauchwerger, Fareed Zaffar, Wen-Mei W. Hwu:
Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles. PACT 2021: 345-355- [c16]Sultan Durrani, Muhammad Saad Chughtai, Abdul Dakkak, Wen-Mei Hwu, Lawrence Rauchwerger:
FFT blitz: the tensor cores strike back. PPoPP 2021: 488-489 - 2020
- [b1]Abdul Dakkak:
Compiling high-level scripting languages to performant code. University of Illinois Urbana-Champaign, USA, 2020 - [c15]Cheng Li, Abdul Dakkak, Jinjun Xiong
, Wen-Mei W. Hwu:
The Design and Implementation of a Scalable Deep Learning Benchmarking Platform. CLOUD 2020: 414-425 - [c14]Abdul Dakkak, Tom Wickham-Jones, Wen-Mei Hwu:
The design and implementation of the wolfram language compiler. CGO 2020: 212-228 - [c13]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu:
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs. IPDPS 2020: 326-327 - [c12]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. IPDPS 2020: 440-450 - [c11]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei W. Hwu:
DLSpec: A Deep Learning Task Exchange Specification. OpML 2020 - [c10]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. ICPE 2020: 202-209 - [i11]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. CoRR abs/2002.08295 (2020) - [i10]Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu:
DLSpec: A Deep Learning Task Exchange Specification. CoRR abs/2002.11262 (2020)
2010 – 2019
- 2019
- [c9]Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei Hwu:
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service. CLOUD 2019: 372-382 - [c8]Abdul Dakkak, Cheng Li, Jinjun Xiong, Isaac Gelado, Wen-Mei W. Hwu:
Accelerating reduction and scan using tensor core units. ICS 2019: 46-57 - [c7]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
MLModelScope: Evaluate and Introspect Cognitive Pipelines. SERVICES 2019: 335-338 - [c6]Carl Pearson, Abdul Dakkak, Sarah Hashash, Cheng Li, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu:
Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects. ICPE 2019: 209-218 - [i9]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Challenges and Pitfalls of Reproducing Machine Learning Artifacts. CoRR abs/1904.12437 (2019) - [i8]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu:
Across-Stack Profiling and Characterization of Machine Learning Models on GPUs. CoRR abs/1908.06869 (2019) - [i7]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. CoRR abs/1911.06922 (2019) - [i6]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. CoRR abs/1911.07967 (2019) - [i5]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
The Design and Implementation of a Scalable DL Benchmarking Platform. CoRR abs/1911.08031 (2019) - 2018
- [i4]Carl Pearson, Abdul Dakkak, Cheng Li, Sarah Hashash, Jinjun Xiong, Wen-Mei W. Hwu:
SCOPE: C3SR Systems Characterization and Benchmarking Framework. CoRR abs/1809.08311 (2018) - [i3]Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei W. Hwu:
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments. CoRR abs/1811.09732 (2018) - [i2]Abdul Dakkak, Cheng Li, Isaac Gelado, Jinjun Xiong, Wen-Mei W. Hwu:
Accelerating Reduction and Scan Using Tensor Core Units. CoRR abs/1811.09736 (2018) - [i1]Abdul Dakkak, Cheng Li, Abhishek Srivastava, Jinjun Xiong, Wen-Mei W. Hwu:
MLModelScope: Evaluate and Measure ML Models within AI Pipelines. CoRR abs/1811.09737 (2018) - 2017
- [c5]Abdul Dakkak, Carl Pearson, Cheng Li, Wen-mei W. Hwu:
RAI: A Scalable Project Submission System for Parallel Programming Courses. IPDPS Workshops 2017: 315-322 - 2016
- [c4]Abdul Dakkak, Carl Pearson, Wen-mei W. Hwu:
WebGPU: A Scalable Online Development Platform for GPU Programming Courses. IPDPS Workshops 2016: 942-949 - [c3]Li-Wen Chang, Izzat El Hajj, Hee-Seok Kim, Juan Gómez-Luna, Abdul Dakkak, Wen-mei W. Hwu:
A programming system for future proofing performance critical libraries. PPoPP 2016: 32:1-32:2 - 2015
- [c2]Nicholas Haydel, Sandra Gesing, Ian J. Taylor, Gregory R. Madey, Abdul Dakkak, Simon Garcia De Gonzalo, Wen-mei W. Hwu:
Enhancing the Usability and Utilization of Accelerated Architectures via Docker. UCC 2015: 361-367 - 2014
- [c1]Christopher I. Rodrigues, Thomas B. Jablin, Abdul Dakkak, Wen-mei W. Hwu:
Triolet: a programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing. PPoPP 2014: 247-258
Coauthor Index
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