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ORCIDGagandeep Singh 0002
Person information
- affiliation: IBM Research - Zurich, Switzerland
- affiliation: Eindhoven University of Technology, Department of Electrical Engineering, The Netherlands
Other persons with the same name
- Gagandeep Singh — disambiguation page
- Gagandeep Singh 0001
![[0000-0002-9299-2961]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9299-2961")
— University of Illinois Urbana-Champaign, IL, USA (and 1 more) - Gagandeep Singh 0003 — Khalsa College, Amritsar, India (and 1 more)
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2020 – today
- 2023
[j6]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: 22136-22154 (2023)- [j5]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): 297-307 (2023) - [j4]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: 102020 (2023) - [c18]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: 463-476 - [c17]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: 35-49 - [c16]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: 1437-1452 - [i20]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 abs/2303.03509 (2023) - [i19]Julien Eudine, Mohammed Alser, Gagandeep Singh, Can Alkan, Onur Mutlu:
GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping. CoRR abs/2309.17063 (2023) - [i18]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 abs/2310.04366 (2023) - 2022
- [j3]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): 39:1-39:27 (2022) - [c15]Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu:
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning. ICCD 2022: 499-508 - [c14]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: 320-336 - [c13]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: 638-655 - [c12]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. ISVLSI 2022: 292-295 - [i17]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 abs/2205.05883 (2022) - [i16]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 abs/2205.07394 (2022) - [i15]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 abs/2205.07957 (2022) - [i14]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 abs/2206.06022 (2022) - [i13]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 abs/2207.07886 (2022) - [i12]Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu:
LEAPER: Modeling Cloud FPGA-based Systems via Transfer Learning. CoRR abs/2208.10606 (2022) - [i11]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 abs/2211.03079 (2022) - [i10]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 abs/2212.04953 (2022) - 2021
- [j2]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): 39-48 (2021) - [c11]Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal:
Modeling FPGA-Based Systems via Few-Shot Learning. FPGA 2021: 146 - [i9]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 abs/2106.06433 (2021) - [i8]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 abs/2107.08716 (2021) - [i7]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 abs/2112.14216 (2021) - 2020
- [c10]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: 1602-1605 - [c9]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: 9-17 - [c8]Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner:
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack. FPL 2020: 310-316 - [i6]Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner:
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack. CoRR abs/2004.10854 (2020) - [i5]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 abs/2007.00060 (2020) - [i4]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 abs/2009.08241 (2020)
2010 – 2019
- 2019
- [j1]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) - [c7]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: 27 - [c6]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: 668-673 - [c5]Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal:
Platform Independent Software Analysis for Near Memory Computing. DSD 2019: 606-609 - [c4]Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Sander Stuijk, Henk Corporaal:
NARMADA: Near-Memory Horizontal Diffusion Accelerator for Scalable Stencil Computations. FPL 2019: 263-269 - [c3]Gagandeep Singh, Dionysios Diamantopoulos, Sander Stuijk, Christoph Hagleitner, Henk Corporaal:
Low Precision Processing for High Order Stencil Computations. SAMOS 2019: 403-415 - [c2]Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal:
Memory and Parallelism Analysis Using a Platform-Independent Approach. SCOPES 2019: 23-26 - [i3]Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal:
Memory and Parallelism Analysis Using a Platform-Independent Approach. CoRR abs/1904.08762 (2019) - [i2]Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal:
Platform Independent Software Analysis for Near Memory Computing. CoRR abs/1906.10037 (2019) - [i1]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 abs/1908.02640 (2019) - 2018
- [c1]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: 608-617
Coauthor Index
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