Visual category recognition for the improved storage and retrieval performance of the CCTV camera system. - Asif Ali Khan; Syed Faiz Akbar Shah; Fahad Ullah; Nasru Minallah (HIS, 2012)

New approach to Forecasting Agro-based statistical models. - Muhammad Akram; M. Ishaq Bhatti; Muhammad Ashfaq; Asif Ali Khan (J. Stat. Theory Appl., 2016)

NVMain Extension for Multi-Level Cache Systems. - Asif Ali Khan; Fazal Hameed; Jerónimo Castrillón (RAPIDO, 2018)

Performance and Energy-Efficient Design of STT-RAM Last-Level Cache. - Fazal Hameed; Asif Ali Khan; Jerónimo Castrillón (IEEE Trans. Very Large Scale Integr. Syst., 2018)

SHRIMP: Efficient Instruction Delivery with Domain Wall Memory. - Joonas Multanen; Pekka Jääskeläinen; Asif Ali Khan; Fazal Hameed; Jerónimo Castrillón (ISLPED, 2019)

Optimizing tensor contractions for embedded devices with racetrack memory scratch-pads. - Asif Ali Khan; Norman A. Rink; Fazal Hameed; Jerónimo Castrillón (LCTES, 2019)

RTSim: A Cycle-Accurate Simulator for Racetrack Memories. - Asif Ali Khan; Fazal Hameed; Robin Bläsing; Stuart S. P. Parkin; Jerónimo Castrillón (IEEE Comput. Archit. Lett., 2019)

Generalized Data Placement Strategies for Racetrack Memories. - Asif Ali Khan; Andrés Goens; Fazal Hameed; Jerónimo Castrillón (DATE, 2020)

Magnetic Racetrack Memory: From Physics to the Cusp of Applications Within a Decade. - Robin Bläsing; Asif Ali Khan; Panagiotis Ch. Filippou; Chirag Garg; Fazal Hameed; Jerónimo Castrillón; Stuart S. P. Parkin (Proc. IEEE, 2020)

ShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0. - Asif Ali Khan; Fazal Hameed; Robin Bläsing; Stuart S. P. Parkin; Jerónimo Castrillón (ACM Trans. Archit. Code Optim., 2020)

Polyhedral Compilation for Racetrack Memories. - Asif Ali Khan; Hauke Mewes; Tobias Grosser; Torsten Hoefler; Jerónimo Castrillón (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Optimizing Tensor Contractions for Embedded Devices with Racetrack and DRAM Memories. - Asif Ali Khan; Norman A. Rink; Fazal Hameed; Jerónimo Castrillón (ACM Trans. Embed. Comput. Syst., 2020)

BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory. - Christian Hakert; Asif Ali Khan; Kuan-Hsun Chen; Fazal Hameed; Jerónimo Castrillón; Jian-Jia Chen (DAC, 2021)

Improving the Performance of Block-based DRAM Caches Via Tag-Data Decoupling. - Fazal Hameed; Asif Ali Khan; Jerónimo Castrillón (IEEE Trans. Computers, 2021)

HyCSim: A rapid design space exploration tool for emerging hybrid last-level caches. - Carlos Escuin; Asif Ali Khan; Pablo Ibáñez 001; Teresa Monreal; Víctor Viñals; Jerónimo Castrillón (DroneSE/RAPIDO@HiPEAC, 2022)

DNA Pre-Alignment Filter Using Processing Near Racetrack Memory. - Fazal Hameed; Asif Ali Khan; Sébastien Ollivier; Alex K. Jones; Jerónimo Castrillón (IEEE Comput. Archit. Lett., 2022)

Energy-Efficient Instruction Delivery in Embedded Systems With Domain Wall Memory. - Joonas Multanen; Kari Hepola; Asif Ali Khan; Jerónimo Castrillón; Pekka Jääskeläinen (IEEE Trans. Computers, 2022)

OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory. - Adam Siemieniuk; Lorenzo Chelini; Asif Ali Khan; Jerónimo Castrillón; Andi Drebes; Henk Corporaal; Tobias Grosser; Martin Kong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

ALPHA: A Novel Algorithm-Hardware Co-Design for Accelerating DNA Seed Location Filtering. - Fazal Hameed; Asif Ali Khan; Jerónimo Castrillón (IEEE Trans. Emerg. Top. Comput., 2022)

Design and Code Optimization for Systems with Next-generation Racetrack Memories. - Asif Ali Khan (2022)

Brain-inspired Cognition in Next-generation Racetrack Memories. - Asif Ali Khan; Sébastien Ollivier; Stephen Longofono; Gerald Hempel; Jerónimo Castrillón; Alex K. Jones (ACM Trans. Embed. Comput. Syst., 2022)

Investigation of Cloud Forensic Incidents in Cloud Architecture for 6G Networks. - Malik Zaib Alam; Asif Ali Khan; Adeel Ahmad; Haneef Khan; Mohammad Rafeek Khan; Ishan Budhiraja; Nagendra Yasmani (ANTS, 2023)

Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. - Jörg Henkel; Lokesh Siddhu; Lars Bauer; Jürgen Teich; Stefan Wildermann; Mehdi B. Tahoori; Mahta Mayahinia; Jerónimo Castrillón; Asif Ali Khan; Hamid Farzaneh; João Paulo C. de Lima; Jian-Jia Chen; et al. (CASES, 2023)

Compression-Aware and Performance-Efficient Insertion Policies for Long-Lasting Hybrid LLCs. - Carlos Escuin; Asif Ali Khan; Pablo Ibáñez 001; Teresa Monreal; Jerónimo Castrillón; Víctor Viñals (HPCA, 2023)

CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms. - Asif Ali Khan; Hamid Farzaneh; Karl F. A. Friebel; Lorenzo Chelini; Jerónimo Castrillón (CoRR, 2023)

ROLLED: Racetrack Memory Optimized Linear Layout and Efficient Decomposition of Decision Trees. - Christian Hakert; Asif Ali Khan; Kuan-Hsun Chen; Fazal Hameed; Jerónimo Castrillón; Jian-Jia Chen (IEEE Trans. Computers, 2023)

DownShift: Tuning Shift Reduction With Reliability for Racetrack Memories. - Asif Ali Khan; Sébastien Ollivier; Fazal Hameed; Jerónimo Castrillón; Alex K. Jones (IEEE Trans. Computers, 2023)

C4CAM: A Compiler for CAM-based In-memory Accelerators. - Hamid Farzaneh; João Paulo Cardoso de Lima; Mengyuan Li; Asif Ali Khan; Xiaobo Sharon Hu; Jerónimo Castrillón (ASPLOS (3), 2024)

CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms. - Asif Ali Khan; Hamid Farzaneh; Karl Friedrich Alexander Friebel; Clément Fournier; Lorenzo Chelini; Jerónimo Castrillón (ASPLOS (4), 2024)

SHERLOCK: Scheduling Efficient and Reliable Bulk Bitwise Operations in NVMs. - Hamid Farzaneh; João Paulo C. de Lima; Ali Nezhadi Khelejani; Asif Ali Khan; Mahta Mayahinia; Mehdi B. Tahoori; Jerónimo Castrillón (DAC, 2024)

Full-Stack Optimization for CAM-Only DNN Inference. - João Paulo C. de Lima; Asif Ali Khan; Luigi Carro; Jerónimo Castrillón (DATE, 2024)

Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, & Compilers. - Michael T. Niemier; Zephan M. Enciso; M. Sharifi; Xiaobo Sharon Hu; Ian O'Connor; A. Graening; R. Sharma; P. Gupta; Jerónimo Castrillón; João Paulo C. de Lima; Asif Ali Khan; H. Farzaneh; et al. (DATE, 2024)

Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance. - Leonard David Bereholschi; Mikail Yayla; Jian-Jia Chen; Kuan-Hsun Chen; Asif Ali Khan (SAMOS, 2024)

Efficient Memory Layout for Pre-Alignment Filtering of Long DNA Reads Using Racetrack Memory. - Asif Ali Khan; Fazal Hameed; Taha Shahroodi; Alex K. Jones; Jerónimo Castrillón (IEEE Comput. Archit. Lett., 2024)

The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview. - Asif Ali Khan; João Paulo C. de Lima; Hamid Farzaneh; Jerónimo Castrillón (CoRR, 2024)

Advancing Quantum Software Engineering: A Vision of Hybrid Full-Stack Iterative Model. - Arif Ali Khan; Davide Taibi 001; Cécile M. Perrault; Asif Ali Khan (CoRR, 2024)

Towards Error Correction for Computing in Racetrack Memory. - Preston Brazzle; Benjamin F. Morris III; Evan McKinney; Peipei Zhou 001; Jingtong Hu; Asif Ali Khan; Alex K. Jones (CoRR, 2024)

Count2Multiply: Reliable In-memory High-Radix Counting. - João Paulo Cardoso de Lima; Benjamin F. Morris III; Asif Ali Khan; Jerónimo Castrillón; Alex K. Jones (CoRR, 2024)

Modeling and Simulating Emerging Memory Technologies: A Tutorial. - Yun-Chih Chen; Tristan Taylan Seidl; Nils Hölscher; Christian Hakert; Minh Duy Truong; Jian-Jia Chen; João Paulo C. de Lima; Asif Ali Khan; Jerónimo Castrillón; Ali Nezhadi; Lokesh Siddhu; Hassan Nassar; et al. (CoRR, 2025)

All-in-Memory Stochastic Computing using ReRAM. - João Paulo C. de Lima; Mehran Shoushtari Moghadam; Sercan Aygun; Jerónimo Castrillón; M. Hassan Najafi; Asif Ali Khan (CoRR, 2025)