Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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9 results for Abdul Dakkak

The design and implementation of a scalable deep learning benchmarking platform
- - Cheng Li
  - Abdul Dakkak
  - et al.
- 2020
- CLOUD 2020
TrIMS: Transparent and isolated model sharing for low latency deep learning inference in function-as-a-service
- - Abdul Dakkak
  - Cheng Li
  - et al.
- 2019
- CLOUD 2019
DLSpec: A deep learning task exchange specification
- - Abdul Dakkak
  - Cheng Li
  - et al.
- 2020
- OpML 2020
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs
- - Cheng Li
  - Abdul Dakkak
  - et al.
- 2020
- IPDPS 2020
Benanza: Automatic μbenchmark Generation to Compute "lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
- - Cheng Li
  - Abdul Dakkak
  - et al.
- 2020
- IPDPS 2020
DLbricks: Composable benchmark generation to reduce deep learning benchmarking effort on CPUs
- - Cheng Li
  - Abdul Dakkak
  - et al.
- 2020
- ICPE 2020
MLModelScope: Evaluate and introspect cognitive pipelines
- - Cheng Li
  - Abdul Dakkak
  - et al.
- 2019
- SERVICES 2019
Accelerating reduction and scan using tensor core units
- - Abdul Dakkak
  - Cheng Li
  - et al.
- 2019
- ICS 2019
Evaluating characteristics of CUDA communication primitives on high-bandwidth interconnects
- - Carl Pearson
  - Abdul Dakkak
  - et al.
- 2019
- ICPE 2019