Apan Qasem - RankMe

59 papers A 4B 6C 2Misc 1Journal 11Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Multi-Tiered Autotuner for Portable Heterogeneous-Compute Interfaces. COMPSAC Shahriar Ahmed Zisan, Mohammad Nooruddin, Apan Qasem
2025	B	`conf`	Autotuning CNN Workloads on the Edge: A Hybrid Approach with Cross-Domain Embeddings. COMPSAC Trevor Hanz, Mohammad Ali, Zarif Sadman, Apan Qasem
2025	B	`conf`	Improving Energy Efficiency of Irregular Workloads with Transformers and Tabular Data Diffusion. COMPSAC Mohammad Ali, Zarif Sadman, Apan Qasem
2024	—	`conf`	Alleviating Dataset Constraints through Synthetic Data Generation in Machine Learning Driven Power Modeling. IGSC Mohammad Ali, Apan Qasem
2023	J	`jnl`	GPU-accelerated Parallel Solutions to the Quadratic Assignment Problem. CoRR Clara Novoa, Apan Qasem
2023	J	`jnl`	Report on 2023 CyberTraining PI Meeting, 26-27 September 2023. CoRR Geoffrey C. Fox, Mary P. Thomas, Sajal Bhatia, Marisa Brazil, Nicole M. Gasparini, Venkatesh Mohan Merwade, Henry J. Neeman, Jeff Carver, Henri Casanova, Vipin Chaudhary, Dirk Colbry, Lonnie D. Crosby, Prasun Dewan, Jessica A. Eisma, Irfan Ahmed, Kate Kaehey, Qianqian Liu, Zhen Ni, Sushil K. Prasad, Apan Qasem, Erik Saule, Prabha Sundaravadivel, Karen Tomko
2023	—	`conf`	ToUCH Virtual Faculty Development Workshops: Going Beyond a Webinar. HiPCW David P. Bunde, Apan Qasem
2023	—	`conf`	Workshop Invited Talks. HiPCW David P. Bunde, Apan Qasem, Prasun Dewan, Bayyapu Neelima
2022	—	`conf`	Adopting Heterogeneous Computing Modules: Experiences from a ToUCH Summer Workshop. EduHPC@SC 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
2022	—	`conf`	Heterogeneous Computing for Undergraduates: Introducing the ToUCH Module Repository. SIGCSE (2) Apan Qasem, David P. Bunde
2022	—	`conf`	Lightning Talks of EduHPC 2022. EduHPC@SC 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, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko
2022	—	`conf`	Optimal Launch Bound Selection in CPU-GPU Hybrid Graph Applications with Deep Learning. IGSC Md. Erfanul Haque Rafi, Apan Qasem
2022	—	`conf`	Raptor: Mitigating CPU-GPU False Sharing Under Unified Memory Systems. IGSC Md. Erfanul Haque Rafi, Kaylee Williams, Apan Qasem
2022	J	`jnl`	Uncovering input-sensitive energy bottlenecks in oversubscribed GPU workloads. Sustain. Comput. Informatics Syst. Johana Di Girolamo, Jacob M. Hope, Apan Qasem
2022	—	`conf`	YODA: A Pedagogical Tool for Teaching Systems Concepts. SIGCSE (1) Apan Qasem
2021	J	`jnl`	A module-based introduction to heterogeneous computing in core courses. J. Parallel Distributed Comput. Apan Qasem, David P. Bunde, Philip J. Schielke
2021	B	`conf`	Characterizing Input-sensitivity in Tightly-Coupled Collaborative Graph Algorithms. CCGRID Jacob M. Hope, Mikel Gjergji, Johana Di Girolamo, Marco A. Alvarez, Apan Qasem
2021	—	`conf`	Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. NAS Blake W. Ford, Apan Qasem, Jelena Tesic, Ziliang Zong
2021	J	`jnl`	Short modules for introducing heterogeneous computing: conference tutorial. J. Comput. Sci. Coll. David P. Bunde, Apan Qasem, Philip J. Schielke
2021	J	`jnl`	Short modules for introducing heterogeneous computing: conference tutorial. J. Comput. Sci. Coll. David P. Bunde, Apan Qasem, Philip J. Schielke
2021	A	`conf`	Teaching about Heterogeneous Computing. SIGCSE David P. Bunde, Apan Qasem, Philip J. Schielke
2020	B	`conf`	Intelligent Data Placement on Discrete GPU Nodes with Unified Memory. PACT Tanzima Sultana, Blake Allen, Apan Qasem
2019	—	`conf`	A Gentle Introduction to Heterogeneous Computing for CS1 Students. EduHPC@SC Apan Qasem
2019	J	`jnl`	A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. CoRR Saeed Taheri, Apan Qasem, Martin Burtscher
2019	—	`conf`	Accelerating HotSpots in Deep Neural Networks on a CAPI-Based FPGA. HPCC/SmartCity/DSS Md Syadus Sefat, Semih Aslan, Jeffrey W. Kellington, Apan Qasem
2019	—	`conf`	Energy-Efficient GPU Graph Processing with On-Demand Page Migration. IGSC Jacob M. Hope, Trisha Nag, Apan Qasem
2018	—	`conf`	Investigating Data Layout Transformations in Chapel. IPDPS Workshops Apan Qasem, Ashwin M. Aji, Michael L. Chu
2018	—	`ch.`	Modules for Teaching Parallel Performance Concepts. Topics in Parallel and Distributed Computing Apan Qasem
2017	—	`conf`	A Machine Learning Approach to Automatic Creation of Architecture-Sensitive Performance Heuristics. HPCC/SmartCity/DSS Biplab Kumar Saha, Tiffany A. Connors, Saami Rahman, Apan Qasem
2017	—	`conf`	Automatically Selecting Profitable Thread Block Sizes for Accelerated Kernels. HPCC/SmartCity/DSS Tiffany A. Connors, Apan Qasem
2017	A	`conf`	Characterizing data organization effects on heterogeneous memory architectures. CGO Apan Qasem, Ashwin M. Aji, Gregory Rodgers
2017	—	`conf`	Evaluating the impact of data layout and placement on the energy efficiency of heterogeneous applications. IGSC Apan Qasem, Samuel Teich
2017	—	`conf`	Mitigating register pressure in GPU kernels for improved energy efficiency. IGSC Apan Qasem, Samuel Teich
2015	—	`conf`	A XSEDE Clara Novoa, Apan Qasem, Abhilash Chaparala
2015	A	`conf`	A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. SIGCSE Martin Burtscher, Wuxu Peng, Apan Qasem, Hongchi Shi, Dan E. Tamir, Heather Thiry
2015	—	`conf`	Autotuning GPU-Accelerated QAP Solvers for Power and Performance. HPCC/CSS/ICESS Abhilash Chaparala, Clara Novoa, Apan Qasem
2015	—	`conf`	Maximizing Hardware Prefetch Effectiveness with Machine Learning. HPCC/CSS/ICESS Saami Rahman, Martin Burtscher, Ziliang Zong, Apan Qasem
2015	—	`conf`	Neural network methods for fast and portable prediction of CPU power consumption. IGSC Mario A. Gutierrez, Saami Rahman, Dan E. Tamir, Apan Qasem
2015	—	`conf`	Power-performance analysis of metaheuristic search algorithms on the GPU. IGSC Tiffany A. Connors, Apan Qasem
2015	—	`conf`	Realizing energy-efficient thread affinity configurations with supervised learning. IGSC Claudia Alvarado, Dan E. Tamir, Apan Qasem
2014	—	`conf`	A SIMD Solution for the Quadratic Assignment Problem with GPU Acceleration. XSEDE Abhilash Chaparala, Clara Novoa, Apan Qasem
2013	J	`jnl`	Improving TLB performance on current chip multiprocessor architectures through demand-driven superpaging. Softw. Pract. Exp. Apan Qasem, Joshua Magee
2012	B	`conf`	Automatic Restructuring of GPU Kernels for Exploiting Inter-thread Data Locality. CC Swapneela Unkule, Christopher Shaltz, Apan Qasem
2012	—	`conf`	Efficient execution of time-step computations with pipelined parallelism and inter-thread data locality optimizaitions. PMAM Apan Qasem
2012	J	`jnl`	Efficient parallel solutions to the integral knapsack problem on current chip-multiprocessor systems. Int. J. Parallel Emergent Distributed Syst. Hammad Rashid, Clara Novoa, Mark McKenney, Apan Qasem
2011	—	`conf`	Poster: register pressure aware code transformations on GPU. SC Companion Swapneela Unkule, Apan Qasem
2011	—	`conf`	Understanding stencil code performance on multicore architectures. Conf. Computing Frontiers Faizur Rahman, Qing Yi, Apan Qasem
2010	—	`conf`	An Evaluation of Parallel Knapsack Algorithms on Multicore Architectures. CSC Hammad Rashid, Clara Novoa, Apan Qasem
2010	C	`conf`	Exposing Tunable Parameters in Multi-threaded Numerical Code. NPC Apan Qasem, Jichi Guo, Faizur Rahman, Qing Yi
2010	—	`conf`	Restructuring parallel loops to curb false sharing on multicore architectures. IPDPS Workshops Santosh Sarangkar, Apan Qasem
2009	—	`conf`	A case for compiler-driven superpage allocation. ACM Southeast Regional Conference Joshua Magee, Apan Qasem
2009	C	`conf`	Balancing Locality and Parallelism on Shared-cache Mulit-core Systems. HPCC Michael Jason Cade, Apan Qasem
2008	Misc	`conf`	Evaluating an Early-stop Criterion and a Statistical Pruning Strategy of the Optimization Search Space. PDPTA Apan Qasem
2008	—	`conf`	Exploring the Optimization Space of Dense Linear Algebra Kernels. LCPC Qing Yi, Apan Qasem
2008	J	`jnl`	Model-guided empirical tuning of loop fusion. Int. J. High Perform. Syst. Archit. Apan Qasem, Ken Kennedy
2006	J	`jnl`	Automatic tuning of whole applications using direct search and a performance-based transformation system. J. Supercomput. Apan Qasem, Ken Kennedy, John M. Mellor-Crummey
2006	A	`conf`	Profitable loop fusion and tiling using model-driven empirical search. ICS Apan Qasem, Ken Kennedy
2005	—	`conf`	A Cache-Conscious Profitability Model for Empirical Tuning of Loop Fusion. LCPC Apan Qasem, Ken Kennedy
2001	—	`conf`	Using a Swap Instruction to Coalesce Loads and Stores. Euro-Par Apan Qasem, David B. Whalley, Xin Yuan, Robert van Engelen