Using a Swap Instruction to Coalesce Loads and Stores. - Apan Qasem; David B. Whalley; Xin Yuan 001; Robert van Engelen (Euro-Par, 2001)

A Cache-Conscious Profitability Model for Empirical Tuning of Loop Fusion. - Apan Qasem; Ken Kennedy (LCPC, 2005)

Profitable loop fusion and tiling using model-driven empirical search. - Apan Qasem; Ken Kennedy (ICS, 2006)

Automatic tuning of whole applications using direct search and a performance-based transformation system. - Apan Qasem; Ken Kennedy; John M. Mellor-Crummey (J. Supercomput., 2006)

Exploring the Optimization Space of Dense Linear Algebra Kernels. - Qing Yi; Apan Qasem (LCPC, 2008)

Evaluating an Early-stop Criterion and a Statistical Pruning Strategy of the Optimization Search Space. - Apan Qasem (PDPTA, 2008)

Model-guided empirical tuning of loop fusion. - Apan Qasem; Ken Kennedy (Int. J. High Perform. Syst. Archit., 2008)

A case for compiler-driven superpage allocation. - Joshua Magee; Apan Qasem (ACM Southeast Regional Conference, 2009)

Balancing Locality and Parallelism on Shared-cache Mulit-core Systems. - Michael Jason Cade; Apan Qasem (HPCC, 2009)

An Evaluation of Parallel Knapsack Algorithms on Multicore Architectures. - Hammad Rashid; Clara Novoa; Apan Qasem (CSC, 2010)

Restructuring parallel loops to curb false sharing on multicore architectures. - Santosh Sarangkar; Apan Qasem (IPDPS Workshops, 2010)

Exposing Tunable Parameters in Multi-threaded Numerical Code. - Apan Qasem; Jichi Guo; Faizur Rahman; Qing Yi (NPC, 2010)

Understanding stencil code performance on multicore architectures. - Faizur Rahman; Qing Yi; Apan Qasem (Conf. Computing Frontiers, 2011)

Poster: register pressure aware code transformations on GPU. - Swapneela Unkule; Apan Qasem (SC Companion, 2011)

Automatic Restructuring of GPU Kernels for Exploiting Inter-thread Data Locality. - Swapneela Unkule; Christopher Shaltz; Apan Qasem (CC, 2012)

Efficient execution of time-step computations with pipelined parallelism and inter-thread data locality optimizaitions. - Apan Qasem (PMAM, 2012)

Efficient parallel solutions to the integral knapsack problem on current chip-multiprocessor systems. - Hammad Rashid; Clara Novoa; Mark McKenney; Apan Qasem (Int. J. Parallel Emergent Distributed Syst., 2012)

Improving TLB performance on current chip multiprocessor architectures through demand-driven superpaging. - Apan Qasem; Joshua Magee (Softw. Pract. Exp., 2013)

A SIMD Solution for the Quadratic Assignment Problem with GPU Acceleration. - Abhilash Chaparala; Clara Novoa; Apan Qasem (XSEDE, 2014)

Realizing energy-efficient thread affinity configurations with supervised learning. - Claudia Alvarado; Dan E. Tamir; Apan Qasem (IGSC, 2015)

Power-performance analysis of metaheuristic search algorithms on the GPU. - Tiffany A. Connors; Apan Qasem (IGSC, 2015)

Neural network methods for fast and portable prediction of CPU power consumption. - Mario A. Gutierrez; Saami Rahman; Dan E. Tamir; Apan Qasem (IGSC, 2015)

Autotuning GPU-Accelerated QAP Solvers for Power and Performance. - Abhilash Chaparala; Clara Novoa; Apan Qasem (HPCC/CSS/ICESS, 2015)

Maximizing Hardware Prefetch Effectiveness with Machine Learning. - Saami Rahman; Martin Burtscher; Ziliang Zong; Apan Qasem (HPCC/CSS/ICESS, 2015)

A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. - Martin Burtscher; Wuxu Peng; Apan Qasem; Hongchi Shi; Dan E. Tamir; Heather Thiry (SIGCSE, 2015)

A SIMD tabu search implementation for solving the quadratic assignment problem with GPU acceleration. - Clara Novoa; Apan Qasem; Abhilash Chaparala (XSEDE, 2015)

Characterizing data organization effects on heterogeneous memory architectures. - Apan Qasem; Ashwin M. Aji; Gregory Rodgers (CGO, 2017)

Evaluating the impact of data layout and placement on the energy efficiency of heterogeneous applications. - Apan Qasem; Samuel Teich (IGSC, 2017)

Mitigating register pressure in GPU kernels for improved energy efficiency. - Apan Qasem; Samuel Teich (IGSC, 2017)

Automatically Selecting Profitable Thread Block Sizes for Accelerated Kernels. - Tiffany A. Connors; Apan Qasem (HPCC/SmartCity/DSS, 2017)

A Machine Learning Approach to Automatic Creation of Architecture-Sensitive Performance Heuristics. - Biplab Kumar Saha; Tiffany A. Connors; Saami Rahman; Apan Qasem (HPCC/SmartCity/DSS, 2017)

Modules for Teaching Parallel Performance Concepts. - Apan Qasem (Topics in Parallel and Distributed Computing, 2018)

Investigating Data Layout Transformations in Chapel. - Apan Qasem; Ashwin M. Aji; Michael L. Chu (IPDPS Workshops, 2018)

Energy-Efficient GPU Graph Processing with On-Demand Page Migration. - Jacob M. Hope; Trisha Nag; Apan Qasem (IGSC, 2019)

Accelerating HotSpots in Deep Neural Networks on a CAPI-Based FPGA. - Md Syadus Sefat; Semih Aslan; Jeffrey W. Kellington; Apan Qasem (HPCC/SmartCity/DSS, 2019)

A Gentle Introduction to Heterogeneous Computing for CS1 Students. - Apan Qasem (EduHPC@SC, 2019)

A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. - Saeed Taheri; Apan Qasem; Martin Burtscher (CoRR, 2019)

Intelligent Data Placement on Discrete GPU Nodes with Unified Memory. - Tanzima Sultana; Blake Allen; Apan Qasem (PACT, 2020)

Characterizing Input-sensitivity in Tightly-Coupled Collaborative Graph Algorithms. - Jacob M. Hope; Mikel Gjergji; Johana Di Girolamo; Marco A. Alvarez; Apan Qasem (CCGRID, 2021)

Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. - Blake W. Ford; Apan Qasem; Jelena Tesic; Ziliang Zong (NAS, 2021)

Teaching about Heterogeneous Computing. - David P. Bunde; Apan Qasem; Philip J. Schielke (SIGCSE, 2021)

Short modules for introducing heterogeneous computing: conference tutorial. - David P. Bunde; Apan Qasem; Philip J. Schielke (J. Comput. Sci. Coll., 2021)

A module-based introduction to heterogeneous computing in core courses. - Apan Qasem; David P. Bunde; Philip J. Schielke (J. Parallel Distributed Comput., 2021)

Adopting Heterogeneous Computing Modules: Experiences from a ToUCH Summer Workshop. - David P. Bunde; Kishwar Ahmed; Sridevi Ayloo; Tisha Brown-Gaines; Joel Fuentes; Vishwesh Jatala; Ruth Kurniawati; Isil Öz; Apan Qasem; Philip J. Schielke; Mary C. Tedeschi; Thomas Y. Yeh (EduHPC@SC, 2022)

Lightning Talks of EduHPC 2022. - Apan Qasem; Hartwig Anzt; Eduard Ayguadé; Katharine J. Cahill; Ramon Canal; Jany Chan; Eric Fosler-Lussier; Fritz Göbel; Arpan Jain; Marcel Koch; Mateusz Kuzak; Josep Llosa; et al. (EduHPC@SC, 2022)

Optimal Launch Bound Selection in CPU-GPU Hybrid Graph Applications with Deep Learning. - Md. Erfanul Haque Rafi; Apan Qasem (IGSC, 2022)

Raptor: Mitigating CPU-GPU False Sharing Under Unified Memory Systems. - Md. Erfanul Haque Rafi; Kaylee Williams; Apan Qasem (IGSC, 2022)

YODA: A Pedagogical Tool for Teaching Systems Concepts. - Apan Qasem (SIGCSE (1), 2022)

Heterogeneous Computing for Undergraduates: Introducing the ToUCH Module Repository. - Apan Qasem; David P. Bunde (SIGCSE (2), 2022)

Uncovering input-sensitive energy bottlenecks in oversubscribed GPU workloads. - Johana Di Girolamo; Jacob M. Hope; Apan Qasem (Sustain. Comput. Informatics Syst., 2022)

ToUCH Virtual Faculty Development Workshops: Going Beyond a Webinar. - David P. Bunde; Apan Qasem (HiPCW, 2023)

Workshop Invited Talks. - David P. Bunde; Apan Qasem; Prasun Dewan; Bayyapu Neelima (HiPCW, 2023)

GPU-accelerated Parallel Solutions to the Quadratic Assignment Problem. - Clara Novoa; Apan Qasem (CoRR, 2023)

Report on 2023 CyberTraining PI Meeting, 26-27 September 2023. - Geoffrey C. Fox; Mary P. Thomas; Sajal Bhatia; Marisa Brazil; Nicole M. Gasparini; Venkatesh Mohan Merwade; Henry J. Neeman; Jeff Carver 001; Henri Casanova; Vipin Chaudhary; Dirk Colbry; Lonnie D. Crosby; et al. (CoRR, 2023)

Alleviating Dataset Constraints through Synthetic Data Generation in Machine Learning Driven Power Modeling. - Mohammad Ali; Apan Qasem (IGSC, 2024)

Improving Energy Efficiency of Irregular Workloads with Transformers and Tabular Data Diffusion. - Mohammad Ali; Zarif Sadman; Apan Qasem (COMPSAC, 2025)

Autotuning CNN Workloads on the Edge: A Hybrid Approach with Cross-Domain Embeddings. - Trevor Hanz; Mohammad Ali; Zarif Sadman; Apan Qasem (COMPSAC, 2025)

A Multi-Tiered Autotuner for Portable Heterogeneous-Compute Interfaces. - Shahriar Ahmed Zisan; Mohammad Nooruddin; Apan Qasem (COMPSAC, 2025)