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- Andreas Gerstlauer
University of Texas at Austin, USA
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Publication search results
found 174 matches
- 2024
- Erika S. Alcorta, Mahesh Madhav, Richard Afoakwa, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer:
Characterizing Machine Learning-Based Runtime Prefetcher Selection. IEEE Comput. Archit. Lett. 23(2): 146-149 (2024) - Vishnuvardhan V. Iyer, Aditya Thimmaiah, Michael Orshansky, Andreas Gerstlauer, Ali E. Yilmaz:
A Hierarchical Classification Method for High-accuracy Instruction Disassembly with Near-field EM Measurements. ACM Trans. Embed. Comput. Syst. 23(1): 10:1-10:21 (2024) - Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora:
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. FCCM 2024: 54-65 - Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora:
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. CoRR abs/2404.11066 (2024) - Madison Threadgill, Andreas Gerstlauer:
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings. CoRR abs/2405.15079 (2024) - Pranav Rama, Madison Threadgill, Andreas Gerstlauer:
Distributed Convolutional Neural Network Training on Mobile and Edge Clusters. CoRR abs/2409.09083 (2024) - 2023
- Ajay Krishna Ananda Kumar, Sami Alsalamin, Hussam Amrouch, Andreas Gerstlauer:
Machine Learning-Based Microarchitecture- Level Power Modeling of CPUs. IEEE Trans. Computers 72(4): 941-956 (2023) - Erika Susana Alcorta Lozano, Andreas Gerstlauer:
Learning-based Phase-aware Multi-core CPU Workload Forecasting. ACM Trans. Design Autom. Electr. Syst. 28(2): 23:1-23:27 (2023) - Dimitrios Gourounas, Bagus Hanindhito, Arash Fathi, Dimitar Trenev, Lizy K. John, Andreas Gerstlauer:
FAWS: FPGA Acceleration of Large-Scale Wave Simulations. ASAP 2023: 76-84 - Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu:
Special Session: Machine Learning for Embedded System Design. CODES+ISSS 2023: 28-37 - Ahsan Saeed, Denis Hoornaert, Dakshina Dasari, Dirk Ziegenbein, Daniel Mueller-Gritschneder, Ulf Schlichtmann, Andreas Gerstlauer, Renato Mancuso:
Memory Latency Distribution-Driven Regulation for Temporal Isolation in MPSoCs. ECRTS 2023: 4:1-4:23 - Dimitrios Gourounas, Bagus Hanindhito, Arash Fathi, Dimitar Trenev, Lizy Kurian John, Andreas Gerstlauer:
LAWS: Large-Scale Accelerated Wave Simulations on FPGAs. FPGA 2023: 230 - James A. Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer:
Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. ICONS 2023: 19:1-19:4 - Erika S. Alcorta, Mahesh Madhav, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer:
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms. CoRR abs/2307.08635 (2023) - 2022
- Andreas Gerstlauer, Aviral Shrivastava:
Report on the 2021 Embedded Systems Week (ESWEEK). IEEE Des. Test 39(1): 94-96 (2022) - Mochamad Asri, Andreas Gerstlauer:
CASPHAr: Cache-Managed Accelerator Staging and Pipelining in Heterogeneous System Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4325-4336 (2022) - Francisco Javier Hernandez Santiago, Honglan Jiang, Hussam Amrouch, Andreas Gerstlauer, Leibo Liu, Jie Han:
Characterizing Approximate Adders and Multipliers for Mitigating Aging and Temperature Degradations. IEEE Trans. Circuits Syst. I Regul. Pap. 69(11): 4558-4571 (2022) - Armin Alaghi, Eva Darulova, Andreas Gerstlauer, Phillip Stanley-Marbell:
Introduction to the Special Issue on Approximate Systems. ACM Trans. Design Autom. Electr. Syst. 27(2): 10:1-10:2 (2022) - Bagus Hanindhito, Dimitrios Gourounas, Arash Fathi, Dimitar Trenev, Andreas Gerstlauer, Lizy K. John:
GAPS: GPU-acceleration of PDE solvers for wave simulation. ICS 2022: 30:1-30:13 - Jackson Farley, Andreas Gerstlauer:
MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference. IESS 2022: 78-88 - Ahsan Saeed, Dakshina Dasari, Dirk Ziegenbein, Varun Rajasekaran, Falk Rehm, Michael Pressler, Arne Hamann, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
Memory Utilization-Based Dynamic Bandwidth Regulation for Temporal Isolation in Multi-Cores. RTAS 2022: 133-145 - Aditya Thimmaiah, Vishnuvardhan V. Iyer, Andreas Gerstlauer, Michael Orshansky:
High-Level Simulation of Embedded Software Vulnerabilities to EM Side-Channel Attacks. SAMOS 2022: 155-170 - 2021
- Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin, Eva Darulova, Lara Dolecek, Andreas Gerstlauer, Ghayoor Gillani, Djordje Jevdjic, Thierry Moreau, Mattia Cacciotti, Alexandros Daglis, Natalie D. Enright Jerger, Babak Falsafi, Sasa Misailovic, Adrian Sampson, Damien Zufferey:
Exploiting Errors for Efficiency: A Survey from Circuits to Applications. ACM Comput. Surv. 53(3): 51:1-51:39 (2021) - Tulika Mitra, Andreas Gerstlauer:
Report on the 2020 Embedded Systems Week (ESWEEK): A Virtual Event during a Pandemic, September 20-25. IEEE Des. Test 38(1): 79-80 (2021) - Rafael Stahl, Alexander Hoffman, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices. Int. J. Parallel Program. 49(4): 600-624 (2021) - Furkan Aydin, Aydin Aysu, Mohit Tiwari, Andreas Gerstlauer, Michael Orshansky:
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols. ACM Trans. Embed. Comput. Syst. 20(6): 110:1-110:22 (2021) - Mochamad Asri, Dhairya Malhotra, Jiajun Wang, George Biros, Lizy K. John, Andreas Gerstlauer:
Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods. IEEE Trans. Parallel Distributed Syst. 32(8): 2035-2048 (2021) - Tanfer Alan, Andreas Gerstlauer, Jörg Henkel:
Cross-Layer Approximate Hardware Synthesis for Runtime Configurable Accuracy. IEEE Trans. Very Large Scale Integr. Syst. 29(6): 1231-1243 (2021) - Georgios Zervakis, Hassaan Saadat, Hussam Amrouch, Andreas Gerstlauer, Sri Parameswaran, Jörg Henkel:
Approximate Computing for ML: State-of-the-art, Challenges and Visions. ASP-DAC 2021: 189-196 - Bagus Hanindhito, Ruihao Li, Dimitrios Gourounas, Arash Fathi, Karan Govil, Dimitar Trenev, Andreas Gerstlauer, Lizy Kurian John:
Wave-PIM: Accelerating Wave Simulation Using Processing-in-Memory. ICPP 2021: 8:1-8:11
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