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Apan Qasem
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2020 – today
- 2024
- [c44]Mohammad Ali, Apan Qasem:
Alleviating Dataset Constraints through Synthetic Data Generation in Machine Learning Driven Power Modeling. IGSC 2024: 52-58 - 2023
- [c43]David P. Bunde, Apan Qasem, Prasun Dewan, Neelima Bayyapu:
Workshop Invited Talks. HiPCW 2023: 5-6 - [c42]David P. Bunde, Apan Qasem:
ToUCH Virtual Faculty Development Workshops: Going Beyond a Webinar. HiPCW 2023: 31-37 - [i3]Clara Novoa, Apan Qasem:
GPU-accelerated Parallel Solutions to the Quadratic Assignment Problem. CoRR abs/2307.11248 (2023) - [i2]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
Report on 2023 CyberTraining PI Meeting, 26-27 September 2023. CoRR abs/2312.14199 (2023) - 2022
- [j6]Johana Di Girolamo, Jacob M. Hope, Apan Qasem:
Uncovering input-sensitive energy bottlenecks in oversubscribed GPU workloads. Sustain. Comput. Informatics Syst. 35: 100654 (2022) - [c41]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: 18-25 - [c40]Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine J. Cahill, Ramon Canal, Jany Chan
Lightning Talks of EduHPC 2022. EduHPC@SC 2022: 42-49 - [c39]Md. Erfanul Haque Rafi, Apan Qasem:
Optimal Launch Bound Selection in CPU-GPU Hybrid Graph Applications with Deep Learning. IGSC 2022: 1-7 - [c38]Md. Erfanul Haque Rafi, Kaylee Williams, Apan Qasem:
Raptor: Mitigating CPU-GPU False Sharing Under Unified Memory Systems. IGSC 2022: 1-8 - [c37]Apan Qasem:
YODA: A Pedagogical Tool for Teaching Systems Concepts. SIGCSE (1) 2022: 613-618 - [c36]Apan Qasem, David P. Bunde:
Heterogeneous Computing for Undergraduates: Introducing the ToUCH Module Repository. SIGCSE (2) 2022: 1201 - 2021
- [j5]Apan Qasem, David P. Bunde, Philip Schielke:
A module-based introduction to heterogeneous computing in core courses. J. Parallel Distributed Comput. 158: 56-66 (2021) - [c35]Jacob M. Hope, Mikel Gjergji, Johana Di Girolamo, Marco A. Alvarez, Apan Qasem:
Characterizing Input-sensitivity in Tightly-Coupled Collaborative Graph Algorithms. CCGRID 2021: 287-296 - [c34]Blake W. Ford, Apan Qasem, Jelena Tesic
Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. NAS 2021: 1-6 - [c33]David P. Bunde, Apan Qasem, Philip Schielke:
Teaching about Heterogeneous Computing. SIGCSE 2021: 1355 - 2020
- [c32]Tanzima Sultana, Blake Allen, Apan Qasem:
Intelligent Data Placement on Discrete GPU Nodes with Unified Memory. PACT 2020: 139-151
2010 – 2019
- 2019
- [c31]Jacob M. Hope, Trisha Nag, Apan Qasem:
Energy-Efficient GPU Graph Processing with On-Demand Page Migration. IGSC 2019: 1-8 - [c30]Md Syadus Sefat
Accelerating HotSpots in Deep Neural Networks on a CAPI-Based FPGA. HPCC/SmartCity/DSS 2019: 248-256 - [c29]Apan Qasem:
A Gentle Introduction to Heterogeneous Computing for CS1 Students. EduHPC@SC 2019: 10-16 - [i1]Saeed Taheri, Apan Qasem, Martin Burtscher:
A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels. CoRR abs/1910.07776 (2019) - 2018
- [c28]Apan Qasem, Ashwin M. Aji, Michael L. Chu:
Investigating Data Layout Transformations in Chapel. IPDPS Workshops 2018: 915-924 - [p1]Apan Qasem:
Modules for Teaching Parallel Performance Concepts. Topics in Parallel and Distributed Computing 2018: 59-77 - 2017
- [c27]Apan Qasem, Ashwin M. Aji, Gregory Rodgers:
Characterizing data organization effects on heterogeneous memory architectures. CGO 2017: 160-170 - [c26]Apan Qasem, Samuel Teich:
Evaluating the impact of data layout and placement on the energy efficiency of heterogeneous applications. IGSC 2017: 1-8 - [c25]Apan Qasem, Samuel Teich:
Mitigating register pressure in GPU kernels for improved energy efficiency. IGSC 2017: 1-7 - [c24]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: 18-25 - [c23]Tiffany A. Connors, Apan Qasem:
Automatically Selecting Profitable Thread Block Sizes for Accelerated Kernels. HPCC/SmartCity/DSS 2017: 442-449 - 2015
- [c22]Claudia Alvarado, Dan E. Tamir, Apan Qasem:
Realizing energy-efficient thread affinity configurations with supervised learning. IGSC 2015: 1-4 - [c21]Tiffany A. Connors, Apan Qasem:
Power-performance analysis of metaheuristic search algorithms on the GPU. IGSC 2015: 1-6 - [c20]Mario A. Gutierrez, Saami Rahman, Dan E. Tamir, Apan Qasem:
Neural network methods for fast and portable prediction of CPU power consumption. IGSC 2015: 1-4 - [c19]Abhilash Chaparala, Clara Novoa, Apan Qasem:
Autotuning GPU-Accelerated QAP Solvers for Power and Performance. HPCC/CSS/ICESS 2015: 78-83 - [c18]Saami Rahman, Martin Burtscher, Ziliang Zong, Apan Qasem:
Maximizing Hardware Prefetch Effectiveness with Machine Learning. HPCC/CSS/ICESS 2015: 383-389 - [c17]Martin Burtscher, Wuxu Peng, Apan Qasem, Hongchi Shi, Dan E. Tamir, Heather Thiry:
A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. SIGCSE 2015: 36-41 - [c16]Clara Novoa, Apan Qasem, Abhilash Chaparala:
A SIMD tabu search implementation for solving the quadratic assignment problem with GPU acceleration. XSEDE 2015: 13:1-13:8 - 2014
- [c15]Abhilash Chaparala, Clara Novoa, Apan Qasem:
A SIMD Solution for the Quadratic Assignment Problem with GPU Acceleration. XSEDE 2014: 1:1-1:8 - 2013
- [j4]Apan Qasem, Joshua Magee:
Improving TLB performance on current chip multiprocessor architectures through demand-driven superpaging. Softw. Pract. Exp. 43(6): 705-729 (2013) - 2012
- [j3]Hammad Rashid, Clara Novoa
Efficient parallel solutions to the integral knapsack problem on current chip-multiprocessor systems. Int. J. Parallel Emergent Distributed Syst. 27(1): 19-44 (2012) - [c14]Swapneela Unkule, Christopher Shaltz, Apan Qasem:
Automatic Restructuring of GPU Kernels for Exploiting Inter-thread Data Locality. CC 2012: 21-40 - [c13]Apan Qasem:
Efficient execution of time-step computations with pipelined parallelism and inter-thread data locality optimizaitions. PMAM 2012: 27-35 - 2011
- [c12]Faizur Rahman, Qing Yi, Apan Qasem:
Understanding stencil code performance on multicore architectures. Conf. Computing Frontiers 2011: 30 - [c11]Swapneela Unkule, Apan Qasem:
Poster: register pressure aware code transformations on GPU. SC Companion 2011: 19-20 - 2010
- [c10]Hammad Rashid, Clara Novoa, Apan Qasem:
An Evaluation of Parallel Knapsack Algorithms on Multicore Architectures. CSC 2010: 230-235 - [c9]Santosh Sarangkar, Apan Qasem:
Restructuring parallel loops to curb false sharing on multicore architectures. IPDPS Workshops 2010: 1-7 - [c8]Apan Qasem, Jichi Guo, Faizur Rahman, Qing Yi:
Exposing Tunable Parameters in Multi-threaded Numerical Code. NPC 2010: 46-60
2000 – 2009
- 2009
- [c7]Joshua Magee, Apan Qasem:
A case for compiler-driven superpage allocation. ACM Southeast Regional Conference 2009 - [c6]Michael Jason Cade, Apan Qasem:
Balancing Locality and Parallelism on Shared-cache Mulit-core Systems. HPCC 2009: 188-195 - 2008
- [j2]Apan Qasem, Ken Kennedy:
Model-guided empirical tuning of loop fusion. Int. J. High Perform. Syst. Archit. 1(3): 183-198 (2008) - [c5]Qing Yi, Apan Qasem:
Exploring the Optimization Space of Dense Linear Algebra Kernels. LCPC 2008: 343-355 - [c4]Apan Qasem:
Evaluating an Early-stop Criterion and a Statistical Pruning Strategy of the Optimization Search Space. PDPTA 2008: 506-510 - 2006
- [j1]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): 183-196 (2006) - [c3]Apan Qasem, Ken Kennedy:
Profitable loop fusion and tiling using model-driven empirical search. ICS 2006: 249-258 - 2005
- [c2]Apan Qasem, Ken Kennedy:
A Cache-Conscious Profitability Model for Empirical Tuning of Loop Fusion. LCPC 2005: 106-120 - 2001
- [c1]Apan Qasem, David B. Whalley, Xin Yuan, Robert van Engelen:
Using a Swap Instruction to Coalesce Loads and Stores. Euro-Par 2001: 235-240
Coauthor Index
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last updated on 2024-12-13 19:09 CET by the dblp team
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