Learning basic block scheduling heuristics from optimal data. - Tyrel Russell; Abid M. Malik; Michael Chase; Peter van Beek (CASCON, 2005)

Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraing Programming. - Abid M. Malik; Jim McInnes; Peter van Beek (ICTAI, 2006)

An Application of Constraint Programming to Superblock Instruction Scheduling. - Abid M. Malik; Michael Chase; Tyrel Russell; Peter van Beek (CP, 2008)

Learning heuristics for basic block instruction scheduling. - Abid M. Malik; Tyrel Russell; Michael Chase; Peter van Beek (J. Heuristics, 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)

Constraint Programming Techniques for Optimal Instruction Scheduling. - Abid M. Malik (2008)

Learning Heuristics for the Superblock Instruction Scheduling Problem. - Tyrel Russell; Abid M. Malik; Michael Chase; Peter van Beek (IEEE Trans. Knowl. Data Eng., 2009)

Spatial Based Feature Generation for Machine Learning Based Optimization Compilation. - Abid M. Malik (ICMLA, 2010)

Automatic Static Feature Generation for Compiler Optimization Problems. - Abid M. Malik (Australasian Conference on Artificial Intelligence, 2011)

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)

Performance Evaluation of Deep Learning Compilers for Edge Inference. - Gaurav Verma; Yashi Gupta; Abid M. Malik; Barbara M. Chapman (IPDPS Workshops, 2021)

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 (CF, 2022)

MPI-based Remote OpenMP Offloading: A More Efficient and Easy-to-use Implementation. - Baodi Shan; Mauricio Araya-Polo; Abid M. Malik; Barbara M. Chapman (PMAM@PPoPP, 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 (ExHET@PPoPP, 2023)

OpenMP Advisor. - Alok Mishra 002; Abid M. Malik; Meifeng Lin; Barbara M. Chapman (CoRR, 2023)

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. - Ali TehraniJamsaz; Alok Mishra 002; Akash Dutta; Abid M. Malik; Barbara M. Chapman; Ali Jannesari (IPDPS (Workshops), 2024)