Parallel circuit simulation using the direct method on a heterogeneous cloud. - Ahmed E. Helal; Amr M. Bayoumi; Yasser Y. Hanafy (DAC, 2015)

High Performance Sparse LU Solver FPGA Accelerator Using a Static Synchronous Data Flow Model. - Mohamed W. Hassan; Ahmed E. Helal; Yasser Y. Hanafy (FCCM, 2015)

Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs. - Konstantinos Krommydas; Ahmed E. Helal; Anshuman Verma; Wu-chun Feng (FCCM, 2016)

MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters. - Ahmed E. Helal; Paul Sathre; Wu-chun Feng (SC, 2016)

AutoMatch: An automated framework for relative performance estimation and workload distribution on heterogeneous HPC systems. - Ahmed E. Helal; Wu-chun Feng; Changhee Jung; Yasser Y. Hanafy (IISWC, 2017)

CommAnalyzer: automated estimation of communication cost and scalability on HPC clusters from sequential code. - Ahmed E. Helal; Changhee Jung; Wu-chun Feng; Yasser Y. Hanafy (HPDC, 2018)

Exploring FPGA-specific Optimizations for Irregular OpenCL Applications. - Mohamed W. Hassan; Ahmed E. Helal; Peter M. Athanas; Wu-Chun Feng; Yasser Y. Hanafy (ReConFig, 2018)

A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation. - Paul Sathre; Ahmed E. Helal; Wu-chun Feng (ReConFig, 2018)

Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs. - Ahmed E. Helal; Ashwin M. Aji; Michael L. Chu; Bradford M. Beckmann; Wu-chun Feng (PACT, 2019)

Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing. - Ahmed E. Helal (2020)

ALTO: adaptive linearized storage of sparse tensors. - Ahmed E. Helal; Jan Laukemann; Fabio Checconi; Jesmin Jahan Tithi; Teresa M. Ranadive; Fabrizio Petrini; Jeewhan Choi (ICS, 2021)

Efficient, out-of-memory sparse MTTKRP on massively parallel architectures. - Andy Nguyen; Ahmed E. Helal; Fabio Checconi; Jan Laukemann; Jesmin Jahan Tithi; Yongseok Soh; Teresa M. Ranadive; Fabrizio Petrini; Jee W. Choi (ICS, 2022)

Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams. - Yongseok Soh; Ahmed E. Helal; Fabio Checconi; Jan Laukemann; Jesmin Jahan Tithi; Teresa M. Ranadive; Fabrizio Petrini; Jee W. Choi (IPDPS, 2023)

Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. - Jan Laukemann; Ahmed E. Helal; S. Isaac Geronimo Anderson; Fabio Checconi; Yongseok Soh; Jesmin Jahan Tithi; Teresa M. Ranadive; Brian J. Gravelle; Fabrizio Petrini; Jee W. Choi (IEEE Trans. Parallel Distributed Syst., 2025)