Gagandeep Singh

49 papers A* 4A 4B 4C 4Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory.
IEEE Trans. Parallel Distributed Syst.
William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian
2025 J jnl
CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory.
CoRR
William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian
2025 J jnl
From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR.
CoRR
Erwei Wang, Samuel Bayliss, Andra Bisca, Zachary Blair, Sangeeta Chowdhary, Kristof Denolf, Jeff Fifield, Brandon Freiberger, Erika Hunhoff, Phil James-Roxby, Jack Lo, Joseph Melber, Stephen Neuendorffer, Eddie Richter, Andre Roesti, Javier Setoain, Gagandeep Singh, Endri Taka, Pranathi Vasireddy, Zhewen Yu, Niansong Zhang, Jinming Zhuang
2025 J jnl
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems.
CoRR
Rakesh Nadig, Vamanan Arulchelvan, Rahul Bera, Taha Shahroodi, Gagandeep Singh, Mohammad Sadrosadati, Jisung Park, Onur Mutlu
2024 — conf
The Genomic Computing Revolution: Defining the Next Decades of Accelerating Genomics.
HPEC
Harisankar Sadasivan, Artur Klauser, Jürgen Hench, Yatish Turakhia, Gagandeep Singh, Alberto Zeni, Sarah J. Beecroft, Satish Narayanasamy, Jeff Nivala, Bob Robey, Onur Mutlu, Kristof Denolf, Sriranjani Sitaraman
2023 J jnl
Casper: Accelerating Stencil Computations Using Near-Cache Processing.
IEEE Access
Alain Denzler, Geraldo F. Oliveira, Nastaran Hajinazar, Rahul Bera, Gagandeep Singh, Juan Gómez-Luna, Onur Mutlu
2023 B conf
Evaluating Machine LearningWorkloads on Memory-Centric Computing Systems.
ISPASS
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
2023 J jnl
Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India.
Ecol. Informatics
Gurpreet Singh, Biju Soman, Gagandeep Singh
2023 J jnl
GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping.
CoRR
Julien Eudine, Mohammed Alser, Gagandeep Singh, Can Alkan, Onur Mutlu
2023 J jnl
RawHash: enabling fast and accurate real-time analysis of raw nanopore signals for large genomes.
Bioinform.
Can Firtina, Nika Mansouri-Ghiasi, Joël Lindegger, Gagandeep Singh, Meryem Banu Cavlak, Haiyu Mao, Onur Mutlu
2023 A conf
SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation.
ICS
Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu
2023 J jnl
SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation.
CoRR
Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu
2023 A* conf
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors.
MICRO
Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui
2023 J jnl
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors.
CoRR
Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui
2022 J jnl
A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers.
CoRR
Gagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu
2022 J jnl
Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric.
ACM Trans. Reconfigurable Technol. Syst.
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Christoph Hagleitner, Sander Stuijk, Henk Corporaal, Onur Mutlu
2022 J jnl
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System.
CoRR
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
2022 J jnl
Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis.
CoRR
Mohammed Alser, Joël Lindegger, Can Firtina, Nour Almadhoun, Haiyu Mao, Gagandeep Singh, Juan Gómez-Luna, Onur Mutlu
2022 C conf
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning.
ICCD
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
2022 J jnl
LEAPER: Modeling Cloud FPGA-based Systems via Transfer Learning.
CoRR
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
2022 — conf
Machine Learning Training on a Real Processing-in-Memory System.
ISVLSI
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
2022 J jnl
Machine Learning Training on a Real Processing-in-Memory System.
CoRR
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
2022 J jnl
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping.
CoRR
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, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
2022 A* conf
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping.
ISCA
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, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
2022 J jnl
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning.
CoRR
Gagandeep Singh, Rakesh Nadig, Jisung Park, Rahul Bera, Nastaran Hajinazar, David Novo, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
2022 A* conf
Sibyl: adaptive and extensible data placement in hybrid storage systems using online reinforcement learning.
ISCA
Gagandeep Singh, Rakesh Nadig, Jisung Park, Rahul Bera, Nastaran Hajinazar, David Novo, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
2022 J jnl
TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering.
CoRR
Meryem Banu Cavlak, Gagandeep Singh, Mohammed Alser, Can Firtina, Joël Lindegger, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Can Alkan, Onur Mutlu
2021 J jnl
Casper: Accelerating Stencil Computation using Near-cache Processing.
CoRR
Alain Denzler, Rahul Bera, Nastaran Hajinazar, Gagandeep Singh, Geraldo F. Oliveira, Juan Gómez-Luna, Onur Mutlu
2021 J jnl
FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications.
IEEE Micro
Gagandeep Singh, Mohammed Alser, Damla Senol Cali, Dionysios Diamantopoulos, Juan Gómez-Luna, Henk Corporaal, Onur Mutlu
2021 J jnl
FPGA-based Near-Memory Acceleration of Modern Data-Intensive Applications.
CoRR
Gagandeep Singh, Mohammed Alser, Damla Senol Cali, Dionysios Diamantopoulos, Juan Gómez-Luna, Henk Corporaal, Onur Mutlu
2021 A conf
Modeling FPGA-Based Systems via Few-Shot Learning.
FPGA
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal
2021 J jnl
NERO: Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric.
CoRR
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Christoph Hagleitner, Sander Stuijk, Henk Corporaal, Onur Mutlu
2020 B conf
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack.
FPL
Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner
2020 J jnl
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack.
CoRR
Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner
2020 B conf
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling.
FPL
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal
2020 J jnl
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling.
CoRR
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal
2020 A conf
TDO-CIM: Transparent Detection and Offloading for Computation In-memory.
DATE
Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal
2020 J jnl
TDO-CIM: Transparent Detection and Offloading for Computation In-memory.
CoRR
Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal
2019 A conf
Coherently Attached Programmable Near-Memory Acceleration Platform and its application to Stencil Processing.
DATE
Jan van Lunteren, Ronald P. Luijten, Dionysios Diamantopoulos, Florian Auernhammer, Christoph Hagleitner, Lorenzo Chelini, Stefano Corda, Gagandeep Singh
2019 — conf
Low Precision Processing for High Order Stencil Computations.
SAMOS
Gagandeep Singh, Dionysios Diamantopoulos, Sander Stuijk, Christoph Hagleitner, Henk Corporaal
2019 C conf
Memory and Parallelism Analysis Using a Platform-Independent Approach.
SCOPES
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 J jnl
Memory and Parallelism Analysis Using a Platform-Independent Approach.
CoRR
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 A* conf
NAPEL: Near-Memory Computing Application Performance Prediction via Ensemble Learning.
DAC
Gagandeep Singh, Juan Gómez-Luna, Giovanni Mariani, Geraldo F. Oliveira, Stefano Corda, Sander Stuijk, Onur Mutlu, Henk Corporaal
2019 B conf
NARMADA: Near-Memory Horizontal Diffusion Accelerator for Scalable Stencil Computations.
FPL
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Sander Stuijk, Henk Corporaal
2019 J jnl
Near-Memory Computing: Past, Present, and Future.
CoRR
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
2019 J jnl
Near-memory computing: Past, present, and future.
Microprocess. Microsystems
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
2019 C conf
Platform Independent Software Analysis for Near Memory Computing.
DSD
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 J jnl
Platform Independent Software Analysis for Near Memory Computing.
CoRR
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2018 C conf
A Review of Near-Memory Computing Architectures: Opportunities and Challenges.
DSD
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra