Abid M. Malik

According to our database, Abid M. Malik authored at least 16 papers between 2005 and 2023.

Collaborative distances:

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

2023

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels.

Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari

CoRR, 2023

OpenMP Advisor.

Alok Mishra, Abid M. Malik, Meifeng Lin, Barbara M. Chapman

CoRR, 2023

Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation.

Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman

Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, 2023

MPI-based Remote OpenMP Offloading: A More Efficient and Easy-to-use Implementation.

Baodi Shan, Mauricio Araya-Polo, Abid M. Malik, Barbara M. Chapman

Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores, 2023

2022

Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler.

Gaurav Verma, Swetang Finviya, Abid M. Malik, Murali Emani, Barbara M. Chapman

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Performance Evaluation of Deep Learning Compilers for Edge Inference.

Gaurav Verma, Yashi Gupta, Abid M. Malik, Barbara M. Chapman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

2012

A computational study of heuristic and exact techniques for superblock instruction scheduling.

Michael Chase, Abid M. Malik, Tyrel Russell, R. Wayne Oldford, Peter van Beek

J. Sched., 2012

2011

Automatic Static Feature Generation for Compiler Optimization Problems.

Abid M. Malik

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

Spatial Based Feature Generation for Machine Learning Based Optimization Compilation.

Abid M. Malik

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Learning Heuristics for the Superblock Instruction Scheduling Problem.

Tyrel Russell, Abid M. Malik, Michael Chase, Peter van Beek

IEEE Trans. Knowl. Data Eng., 2009

2008

Constraint Programming Techniques for Optimal Instruction Scheduling.

Abid M. Malik

PhD thesis, 2008

Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming.

Abid M. Malik, Jim McInnes, Peter van Beek

Int. J. Artif. Intell. Tools, 2008

Learning heuristics for basic block instruction scheduling.

Abid M. Malik, Tyrel Russell, Michael Chase, Peter van Beek

J. Heuristics, 2008

An Application of Constraint Programming to Superblock Instruction Scheduling.

Abid M. Malik, Michael Chase, Tyrel Russell, Peter van Beek

Proceedings of the Principles and Practice of Constraint Programming, 2008

2006

Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraing Programming.

Abid M. Malik, Jim McInnes, Peter van Beek

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

2005

Learning basic block scheduling heuristics from optimal data.

Tyrel Russell, Abid M. Malik, Michael Chase, Peter van Beek

Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative Research, 2005