A Review of Near-Memory Computing Architectures: Opportunities and Challenges. - Gagandeep Singh 002; Lorenzo Chelini; Stefano Corda; Ahsan Javed Awan; Sander Stuijk; Roel Jordans; Henk Corporaal; Albert-Jan Boonstra (DSD, 2018)

NAPEL: Near-Memory Computing Application Performance Prediction via Ensemble Learning. - Gagandeep Singh 002; Juan Gómez-Luna; Giovanni Mariani; Geraldo F. Oliveira; Stefano Corda; Sander Stuijk; Onur Mutlu; Henk Corporaal (DAC, 2019)

Coherently Attached Programmable Near-Memory Acceleration Platform and its application to Stencil Processing. - Jan van Lunteren; Ronald P. Luijten; Dionysios Diamantopoulos; Florian Auernhammer; Christoph Hagleitner; Lorenzo Chelini; Stefano Corda; Gagandeep Singh 002 (DATE, 2019)

Platform Independent Software Analysis for Near Memory Computing. - Stefano Corda; Gagandeep Singh 002; Ahsan Javed Awan; Roel Jordans; Henk Corporaal (DSD, 2019)

NARMADA: Near-Memory Horizontal Diffusion Accelerator for Scalable Stencil Computations. - Gagandeep Singh 002; Dionysios Diamantopoulos; Christoph Hagleitner; Sander Stuijk; Henk Corporaal (FPL, 2019)

Low Precision Processing for High Order Stencil Computations. - Gagandeep Singh 002; Dionysios Diamantopoulos; Sander Stuijk; Christoph Hagleitner; Henk Corporaal (SAMOS, 2019)

Memory and Parallelism Analysis Using a Platform-Independent Approach. - Stefano Corda; Gagandeep Singh 002; Ahsan Javed Awan; Roel Jordans; Henk Corporaal (SCOPES, 2019)

Near-memory computing: Past, present, and future. - Gagandeep Singh 002; Lorenzo Chelini; Stefano Corda; Ahsan Javed Awan; Sander Stuijk; Roel Jordans; Henk Corporaal; Albert-Jan Boonstra (Microprocess. Microsystems, 2019)

TDO-CIM: Transparent Detection and Offloading for Computation In-memory. - Kanishkan Vadivel; Lorenzo Chelini; Ali BanaGozar; Gagandeep Singh 002; Stefano Corda; Roel Jordans; Henk Corporaal (DATE, 2020)

Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack. - Dionysios Diamantopoulos; Burkhard Ringlein; Mitra Purandare; Gagandeep Singh 002; Christoph Hagleitner (FPL, 2020)

NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling. - Gagandeep Singh 002; Dionysios Diamantopoulos; Christoph Hagleitner; Juan Gómez-Luna; Sander Stuijk; Onur Mutlu; Henk Corporaal (FPL, 2020)

Modeling FPGA-Based Systems via Few-Shot Learning. - Gagandeep Singh 002; Dionysios Diamantopoulos; Juan Gómez-Luna; Sander Stuijk; Onur Mutlu; Henk Corporaal (FPGA, 2021)

NERO: Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric. - Gagandeep Singh 002; Dionysios Diamantopoulos; Juan Gómez-Luna; Christoph Hagleitner; Sander Stuijk; Henk Corporaal; Onur Mutlu (CoRR, 2021)

Casper: Accelerating Stencil Computation using Near-cache Processing. - Alain Denzler; Rahul Bera; Nastaran Hajinazar; Gagandeep Singh 002; Geraldo F. Oliveira; Juan Gómez-Luna; Onur Mutlu (CoRR, 2021)

FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications. - Gagandeep Singh 002; Mohammed Alser; Damla Senol Cali; Dionysios Diamantopoulos; Juan Gómez-Luna; Henk Corporaal; Onur Mutlu (IEEE Micro, 2021)

LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning. - Gagandeep Singh 002; Dionysios Diamantopoulos; Juan Gómez-Luna; Sander Stuijk; Henk Corporaal; Onur Mutlu (ICCD, 2022)

Sibyl: adaptive and extensible data placement in hybrid storage systems using online reinforcement learning. - Gagandeep Singh 002; Rakesh Nadig; Jisung Park 001; Rahul Bera; Nastaran Hajinazar; David Novo; Juan Gómez-Luna; Sander Stuijk; Henk Corporaal; Onur Mutlu (ISCA, 2022)

SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. - Damla Senol Cali; Konstantinos Kanellopoulos; Joël Lindegger; Zülal Bingöl; Gurpreet S. Kalsi; Ziyi Zuo; Can Firtina; Meryem Banu Cavlak; Jeremie S. Kim; Nika Mansouri-Ghiasi; Gagandeep Singh 002; Juan Gómez-Luna; et al. (ISCA, 2022)

Machine Learning Training on a Real Processing-in-Memory System. - Juan Gómez-Luna; Yuxin Guo; Sylvan Brocard; Julien Legriel; Remy Cimadomo; Geraldo F. Oliveira; Gagandeep Singh 002; Onur Mutlu (ISVLSI, 2022)

Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis. - Mohammed Alser; Joël Lindegger; Can Firtina; Nour Almadhoun; Haiyu Mao; Gagandeep Singh 002; Juan Gómez-Luna; Onur Mutlu (CoRR, 2022)

An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System. - Juan Gómez-Luna; Yuxin Guo; Sylvan Brocard; Julien Legriel; Remy Cimadomo; Geraldo F. Oliveira; Gagandeep Singh 002; Onur Mutlu (CoRR, 2022)

LEAPER: Modeling Cloud FPGA-based Systems via Transfer Learning. - Gagandeep Singh 002; Dionysios Diamantopoulos; Juan Gómez-Luna; Sander Stuijk; Henk Corporaal; Onur Mutlu (CoRR, 2022)

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers. - Gagandeep Singh 002; Mohammed Alser; Alireza Khodamoradi; Kristof Denolf; Can Firtina; Meryem Banu Cavlak; Henk Corporaal; Onur Mutlu (CoRR, 2022)

TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering. - Meryem Banu Cavlak; Gagandeep Singh 002; Mohammed Alser; Can Firtina; Joël Lindegger; Mohammad Sadrosadati; Nika Mansouri-Ghiasi; Can Alkan; Onur Mutlu (CoRR, 2022)

Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric. - Gagandeep Singh 002; Dionysios Diamantopoulos; Juan Gómez-Luna; Christoph Hagleitner; Sander Stuijk; Henk Corporaal; Onur Mutlu (ACM Trans. Reconfigurable Technol. Syst., 2022)

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation. - Gagandeep Singh 002; Alireza Khodamoradi; Kristof Denolf; Jack Lo; Juan Gómez-Luna; Joseph Melber; Andra Bisca; Henk Corporaal; Onur Mutlu (ICS, 2023)

Evaluating Machine LearningWorkloads on Memory-Centric Computing Systems. - Juan Gómez-Luna; Yuxin Guo; Sylvan Brocard; Julien Legriel; Remy Cimadomo; Geraldo F. Oliveira; Gagandeep Singh 002; Onur Mutlu (ISPASS, 2023)

Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. - Taha Shahroodi; Gagandeep Singh 002; Mahdi Zahedi; Haiyu Mao; Joël Lindegger; Can Firtina; Stephan Wong; Onur Mutlu; Said Hamdioui (MICRO, 2023)

Casper: Accelerating Stencil Computations Using Near-Cache Processing. - Alain Denzler; Geraldo F. Oliveira; Nastaran Hajinazar; Rahul Bera; Gagandeep Singh 002; Juan Gómez-Luna; Onur Mutlu (IEEE Access, 2023)

RawHash: enabling fast and accurate real-time analysis of raw nanopore signals for large genomes. - Can Firtina; Nika Mansouri-Ghiasi; Joël Lindegger; Gagandeep Singh 002; Meryem Banu Cavlak; Haiyu Mao; Onur Mutlu (Bioinform., 2023)

GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping. - Julien Eudine; Mohammed Alser; Gagandeep Singh 002; Can Alkan; Onur Mutlu (CoRR, 2023)

Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India. - Gurpreet Singh; Biju Soman; Gagandeep Singh 002 (Ecol. Informatics, 2023)

The Genomic Computing Revolution: Defining the Next Decades of Accelerating Genomics. - Harisankar Sadasivan; Artur Klauser; Jürgen Hench; Yatish Turakhia; Gagandeep Singh 002; Alberto Zeni; Sarah J. Beecroft; Satish Narayanasamy; Jeff Nivala; Bob Robey; Onur Mutlu; Kristof Denolf; et al. (HPEC, 2024)

Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems. - Rakesh Nadig; Vamanan Arulchelvan; Rahul Bera; Taha Shahroodi; Gagandeep Singh 002; Mohammad Sadrosadati; Jisung Park 001; Onur Mutlu (CoRR, 2025)

CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory. - William Andrew Simon; Irem Boybat; Riselda Kodra; Elena Ferro; Gagandeep Singh 002; Mohammed Alser; Shubham Jain; Hsinyu Tsai; Geoffrey W. Burr; Onur Mutlu; Abu Sebastian (IEEE Trans. Parallel Distributed Syst., 2025)