Gagandeep Singh

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 43

Top Topics

Storage Systems

Weather Prediction

Top Venues

Publications

Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
Evaluating Machine LearningWorkloads on Memory-Centric Computing Systems. ISPASS (2023)
Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu
SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation. CoRR (2023)
Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. CoRR (2023)
Can Firtina, Nika Mansouri-Ghiasi, Joël Lindegger, Gagandeep Singh, Meryem Banu Cavlak, Haiyu Mao, Onur Mutlu
RawHash: enabling fast and accurate real-time analysis of raw nanopore signals for large genomes. Bioinform. 39 (Supplement-1) (2023)
Julien Eudine, Mohammed Alser, Gagandeep Singh, Can Alkan, Onur Mutlu
GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping. CoRR (2023)
Alain Denzler, Geraldo F. Oliveira, Nastaran Hajinazar, Rahul Bera, Gagandeep Singh, Juan Gómez-Luna, Onur Mutlu
Casper: Accelerating Stencil Computations Using Near-Cache Processing. IEEE Access 11 (2023)
Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu
SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation. ICS (2023)
Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. MICRO (2023)
Gurpreet Singh, Biju Soman, Gagandeep Singh
Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India. Ecol. Informatics 75 (2023)
Juan Gómez-Luria, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
Machine Learning Training on a Real Processing-in-Memory System. ISVLSI (2022)
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
Machine Learning Training on a Real Processing-in-Memory System. CoRR (2022)
Gagandeep Singh, Rakesh Nadig, Jisung Park, Rahul Bera, Nastaran Hajinazar, David Novo, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning. CoRR (2022)
Gagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu
A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers. CoRR (2022)
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Christoph Hagleitner, Sander Stuijk, Henk Corporaal, Onur Mutlu
Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Mohammed Alser, Joël Lindegger, Can Firtina, Nour Almadhoun, Haiyu Mao, Gagandeep Singh, Juan Gómez-Luna, Onur Mutlu
Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis. CoRR (2022)
Gagandeep Singh, Rakesh Nadig, Jisung Park, Rahul Bera, Nastaran Hajinazar, David Novo, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
Sibyl: adaptive and extensible data placement in hybrid storage systems using online reinforcement learning. ISCA (2022)
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
LEAPER: Modeling Cloud FPGA-based Systems via Transfer Learning. CoRR (2022)
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
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping. CoRR (2022)
Meryem Banu Cavlak, Gagandeep Singh, Mohammed Alser, Can Firtina, Joël Lindegger, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Can Alkan, Onur Mutlu
TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering. CoRR (2022)
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
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. ISCA (2022)
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System. CoRR (2022)
Alain Denzler, Rahul Bera, Nastaran Hajinazar, Gagandeep Singh, Geraldo F. Oliveira, Juan Gómez-Luna, Onur Mutlu
Casper: Accelerating Stencil Computation using Near-cache Processing. CoRR (2021)
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Christoph Hagleitner, Sander Stuijk, Henk Corporaal, Onur Mutlu
NERO: Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric. CoRR (2021)
Gagandeep Singh, Mohammed Alser, Damla Senol Cali, Dionysios Diamantopoulos, Juan Gómez-Luna, Henk Corporaal, Onur Mutlu
FPGA-based Near-Memory Acceleration of Modern Data-Intensive Applications. CoRR (2021)
Gagandeep Singh, Mohammed Alser, Damla Senol Cali, Dionysios Diamantopoulos, Juan Gómez-Luna, Henk Corporaal, Onur Mutlu
FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications. IEEE Micro 41 (4) (2021)
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal
Modeling FPGA-Based Systems via Few-Shot Learning. FPGA (2021)
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling. FPL (2020)
Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. CoRR (2020)
Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack. CoRR (2020)
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling. CoRR (2020)
Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack. FPL (2020)
Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. DATE (2020)
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
Platform Independent Software Analysis for Near Memory Computing. DSD (2019)
Jan van Lunteren, Ronald P. Luijten, Dionysios Diamantopoulos, Florian Auernhammer, Christoph Hagleitner, Lorenzo Chelini, Stefano Corda, Gagandeep Singh
Coherently Attached Programmable Near-Memory Acceleration Platform and its application to Stencil Processing. DATE (2019)
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
Near-memory computing: Past, present, and future. Microprocess. Microsystems 71 (2019)
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
Memory and Parallelism Analysis Using a Platform-Independent Approach. SCOPES (2019)
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
Memory and Parallelism Analysis Using a Platform-Independent Approach. CoRR (2019)
Gagandeep Singh, Dionysios Diamantopoulos, Sander Stuijk, Christoph Hagleitner, Henk Corporaal
Low Precision Processing for High Order Stencil Computations. SAMOS (2019)
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Sander Stuijk, Henk Corporaal
NARMADA: Near-Memory Horizontal Diffusion Accelerator for Scalable Stencil Computations. FPL (2019)
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
Platform Independent Software Analysis for Near Memory Computing. CoRR (2019)
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
Near-Memory Computing: Past, Present, and Future. CoRR (2019)
Gagandeep Singh, Juan Gómez-Luna, Giovanni Mariani, Geraldo F. Oliveira, Stefano Corda, Sander Stuijk, Onur Mutlu, Henk Corporaal
NAPEL: Near-Memory Computing Application Performance Prediction via Ensemble Learning. DAC (2019)
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
A Review of Near-Memory Computing Architectures: Opportunities and Challenges. DSD (2018)