Ahmed E. Helal

18 papers A* 1A 5B 1Misc 2Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation.
IEEE Trans. Parallel Distributed Syst.
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
2025 J jnl
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition.
CoRR
Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Yongseok Soh, Jesmin Jahan Tithi, Fabrizio Petrini, Jee W. Choi
2024 J jnl
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation.
CoRR
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
2023 A conf
Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams.
IPDPS
Yongseok Soh, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi
2022 J jnl
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures.
CoRR
Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi
2022 A conf
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures.
ICS
Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi
2021 J jnl
ALTO: Adaptive Linearized Storage of Sparse Tensors.
CoRR
Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi
2021 A conf
ALTO: adaptive linearized storage of sparse tensors.
ICS
Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi
2020 — —
Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing.
Ahmed E. Helal
2019 B conf
Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs.
PACT
Ahmed E. Helal, Ashwin M. Aji, Michael L. Chu, Bradford M. Beckmann, Wu-chun Feng
2018 — conf
A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation.
ReConFig
Paul Sathre, Ahmed E. Helal, Wu-chun Feng
2018 A conf
CommAnalyzer: automated estimation of communication cost and scalability on HPC clusters from sequential code.
HPDC
Ahmed E. Helal, Changhee Jung, Wu-chun Feng, Yasser Y. Hanafy
2018 — conf
Exploring FPGA-specific Optimizations for Irregular OpenCL Applications.
ReConFig
Mohamed W. Hassan, Ahmed E. Helal, Peter M. Athanas, Wu-chun Feng, Yasser Y. Hanafy
2017 — conf
AutoMatch: An automated framework for relative performance estimation and workload distribution on heterogeneous HPC systems.
IISWC
Ahmed E. Helal, Wu-chun Feng, Changhee Jung, Yasser Y. Hanafy
2016 Misc conf
Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs.
FCCM
Konstantinos Krommydas, Ahmed E. Helal, Anshuman Verma, Wu-chun Feng
2016 A conf
MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters.
SC
Ahmed E. Helal, Paul Sathre, Wu-chun Feng
2015 Misc conf
High Performance Sparse LU Solver FPGA Accelerator Using a Static Synchronous Data Flow Model.
FCCM
Mohamed W. Hassan, Ahmed E. Helal, Yasser Y. Hanafy
2015 A* conf
Parallel circuit simulation using the direct method on a heterogeneous cloud.
DAC
Ahmed E. Helal, Amr M. Bayoumi, Yasser Y. Hanafy