Apan Qasem

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 26

Top Topics

Heterogeneous Computing

Quadratic Assignment Problem

Energy Efficiency

Top Venues

HPCC/SmartCity/DSS

Publications

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 Crosby, Prasun Dewan, Jessica Eisma, Nicole M. Gasparini, Ahmed Irfan, Kate Kaehey, Qianqian Liu, Zhen Ni, Sushil K. Prasad, Apan Qasem, Erik Saule, Prabha Sundaravadivel, Karen Tomko
Report on 2023 CyberTraining PI Meeting, 26-27 September 2023. CoRR (2023)
David P. Bunde, Apan Qasem, Prasun Dewan, Neelima Bayyapu
Workshop Invited Talks. HiPCW (2023)
David P. Bunde, Apan Qasem
ToUCH Virtual Faculty Development Workshops: Going Beyond a Webinar. HiPCW (2023)
Clara Novoa, Apan Qasem
GPU-accelerated Parallel Solutions to the Quadratic Assignment Problem. CoRR (2023)
Md. Erfanul Haque Rafi, Apan Qasem
Optimal Launch Bound Selection in CPU-GPU Hybrid Graph Applications with Deep Learning. IGSC (2022)
Apan Qasem, David P. Bunde
Heterogeneous Computing for Undergraduates: Introducing the ToUCH Module Repository. SIGCSE (2) (2022)
Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine 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
Lightning Talks of EduHPC 2022. EduHPC@SC (2022)
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
Adopting Heterogeneous Computing Modules: Experiences from a ToUCH Summer Workshop. EduHPC@SC (2022)
Johana Di Girolamo, Jacob M. Hope, Apan Qasem
Uncovering input-sensitive energy bottlenecks in oversubscribed GPU workloads. Sustain. Comput. Informatics Syst. 35 (2022)
Apan Qasem
YODA: A Pedagogical Tool for Teaching Systems Concepts. SIGCSE (1) (2022)
Md. Erfanul Haque Rafi, Kaylee Williams, Apan Qasem
Raptor: Mitigating CPU-GPU False Sharing Under Unified Memory Systems. IGSC (2022)
David P. Bunde, Apan Qasem, Philip Schielke
Teaching about Heterogeneous Computing. SIGCSE (2021)
Apan Qasem, David P. Bunde, Philip Schielke
A module-based introduction to heterogeneous computing in core courses. J. Parallel Distributed Comput. 158 (2021)
Jacob M. Hope, Mikel Gjergji, Johana Di Girolamo, Marco A. Alvarez, Apan Qasem
Characterizing Input-sensitivity in Tightly-Coupled Collaborative Graph Algorithms. CCGRID (2021)
Blake W. Ford, Apan Qasem, Jelena Tesic, Ziliang Zong
Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. NAS (2021)
Tanzima Sultana, Blake Allen, Apan Qasem
Intelligent Data Placement on Discrete GPU Nodes with Unified Memory. PACT (2020)
Apan Qasem
A Gentle Introduction to Heterogeneous Computing for CS1 Students. EduHPC@SC (2019)
Md Syadus Sefat, Semih Aslan, Jeffrey W. Kellington, Apan Qasem
Accelerating HotSpots in Deep Neural Networks on a CAPI-Based FPGA. HPCC/SmartCity/DSS (2019)
Saeed Taheri, Apan Qasem, Martin Burtscher
A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. CoRR (2019)
Jacob M. Hope, Trisha Nag, Apan Qasem
Energy-Efficient GPU Graph Processing with On-Demand Page Migration. IGSC (2019)
Apan Qasem, Ashwin M. Aji, Michael L. Chu
Investigating Data Layout Transformations in Chapel. IPDPS Workshops (2018)
Tiffany A. Connors, Apan Qasem
Automatically Selecting Profitable Thread Block Sizes for Accelerated Kernels. HPCC/SmartCity/DSS (2017)
Apan Qasem, Samuel Teich
Mitigating register pressure in GPU kernels for improved energy efficiency. IGSC (2017)
Apan Qasem, Samuel Teich
Evaluating the impact of data layout and placement on the energy efficiency of heterogeneous applications. IGSC (2017)
Biplab Kumar Saha, Tiffany A. Connors, Saami Rahman, Apan Qasem
A Machine Learning Approach to Automatic Creation of Architecture-Sensitive Performance Heuristics. HPCC/SmartCity/DSS (2017)
Apan Qasem, Ashwin M. Aji, Gregory Rodgers
Characterizing data organization effects on heterogeneous memory architectures. CGO (2017)
Mario Gutierrez, Saami Rahman, Dan Tamir, Apan Qasem
Neural network methods for fast and portable prediction of CPU power consumption. IGSC (2015)
Tiffany A. Connors, Apan Qasem
Power-performance analysis of metaheuristic search algorithms on the GPU. IGSC (2015)
Claudia Alvarado, Dan Tamir, Apan Qasem
Realizing energy-efficient thread affinity configurations with supervised learning. IGSC (2015)
Abhilash Chaparala, Clara Novoa, Apan Qasem
Autotuning GPU-Accelerated QAP Solvers for Power and Performance. HPCC/CSS/ICESS (2015)
Saami Rahman, Martin Burtscher, Ziliang Zong, Apan Qasem
Maximizing Hardware Prefetch Effectiveness with Machine Learning. HPCC/CSS/ICESS (2015)
Martin Burtscher, Wuxu Peng, Apan Qasem, Hongchi Shi, Dan Tamir, Heather Thiry
A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. SIGCSE (2015)
Clara Novoa, Apan Qasem, Abhilash Chaparala
implementation for solving the quadratic assignment problem with GPU acceleration. XSEDE (2015)
Abhilash Chaparala, Clara Novoa, Apan Qasem
A SIMD Solution for the Quadratic Assignment Problem with GPU Acceleration. XSEDE (2014)
Apan Qasem, Joshua Magee
Improving TLB performance on current chip multiprocessor architectures through demand-driven superpaging. Softw. Pract. Exp. 43 (6) (2013)
Apan Qasem
Efficient execution of time-step computations with pipelined parallelism and inter-thread data locality optimizaitions. PMAM (2012)
Hammad Rashid, Clara Novoa, Mark McKenney, Apan Qasem
Efficient parallel solutions to the integral knapsack problem on current chip-multiprocessor systems. Int. J. Parallel Emergent Distributed Syst. 27 (1) (2012)
Swapneela Unkule, Christopher Shaltz, Apan Qasem
Automatic Restructuring of GPU Kernels for Exploiting Inter-thread Data Locality. CC (2012)
Swapneela Unkule, Apan Qasem
Poster: register pressure aware code transformations on GPU. SC Companion (2011)
Faizur Rahman, Qing Yi, Apan Qasem
Understanding stencil code performance on multicore architectures. Conf. Computing Frontiers (2011)
Hammad Rashid, Clara Novoa, Apan Qasem
An Evaluation of Parallel Knapsack Algorithms on Multicore Architectures. CSC (2010)
Santosh Sarangkar, Apan Qasem
Restructuring parallel loops to curb false sharing on multicore architectures. IPDPS Workshops (2010)
Apan Qasem, Jichi Guo, Faizur Rahman, Qing Yi
Exposing Tunable Parameters in Multi-threaded Numerical Code. NPC (2010)
Michael Jason Cade, Apan Qasem
Balancing Locality and Parallelism on Shared-cache Mulit-core Systems. HPCC (2009)
Joshua Magee, Apan Qasem
A case for compiler-driven superpage allocation. ACM Southeast Regional Conference (2009)
Apan Qasem, Ken Kennedy
Model-guided empirical tuning of loop fusion. Int. J. High Perform. Syst. Archit. 1 (3) (2008)
Qing Yi, Apan Qasem
Exploring the Optimization Space of Dense Linear Algebra Kernels. LCPC (2008)
Apan Qasem
Evaluating an Early-stop Criterion and a Statistical Pruning Strategy of the Optimization Search Space. PDPTA (2008)
Apan Qasem, Ken Kennedy, John M. Mellor-Crummey
Automatic tuning of whole applications using direct search and a performance-based transformation system. J. Supercomput. 36 (2) (2006)
Apan Qasem, Ken Kennedy
Profitable loop fusion and tiling using model-driven empirical search. ICS (2006)
Apan Qasem, Ken Kennedy
A Cache-Conscious Profitability Model for Empirical Tuning of Loop Fusion. LCPC (2005)
Apan Qasem, David B. Whalley, Xin Yuan, Robert van Engelen
Using a Swap Instruction to Coalesce Loads and Stores. Euro-Par (2001)