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Advanced Memory to Support Artificial Intelligence for Science (AMAIS)

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  3. Advanced Memory to Support Artificial Intelligence for Science (AMAIS)

AMAIS Publications

Publications

MAY 23, 2025
Conference Paper

MemFriend: Understanding Memory Performance with Spatial-Temporal Affinity

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MAY 2, 2025
Conference Paper

Distributed-Memory Sparse Deep Neural Network Inference Using Global Arrays

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APRIL 23, 2025
Conference Paper

Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect

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FEBRUARY 5, 2025
Conference Paper

Performance Study of CXL Memory Topology

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JANUARY 7, 2025
Conference Paper

Studying CPU and memory utilization of applications on Fujitsu A64FX and Nvidia Grace Superchip

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AUGUST 7, 2024
Conference Paper

Harnessing ML Privacy by Design Through Crossbar Array Non-idealities

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JULY 26, 2024
Journal Article

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity

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FEBRUARY 15, 2024
Conference Paper

Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU System

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JANUARY 20, 2023
Conference Paper

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration

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JANUARY 20, 2023
Conference Paper

SODA Synthesizer: an Open-source, Multi-level, Modular, Extensible Compiler from High-level Frameworks to Silicon

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JANUARY 13, 2023
Conference Paper

Sparse Deep Neural Network Inference using different Programming Models

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JANUARY 13, 2023
Conference Paper

MemGaze: Rapid and Effective Load-Level Memory Trace Analysis

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JANUARY 13, 2023
Conference Paper

Improved Distributed-memory Triangle Counting by Exploiting the Graph Structure

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OCTOBER 6, 2022
Journal Article

Bridging Python to Silicon: The SODA Toolchain

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OCTOBER 28, 2021
Conference Paper

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis

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OCTOBER 28, 2021
Conference Paper

Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems

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OCTOBER 26, 2020
Conference Paper

Rapid Memory Footprint Access Diagnostics

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Posters & Presentations

  • Herrera Guaitero R.  A., J. B. Manzano Franco, J. D. Suetterlein, X. Li,  and A. Marquez. “CARTS: Enabling Event-Driven Task and Data Block Compilation for Distributed HPC.” In ninth LLVM Performance Workshop at CGO. PNNL-SA-208358
  • Limaye A.M., N. Bohm Agostini, C. Barone, V.G. Castellana, M. Fiorito, F. Ferrandi, and A. Marquez. "A Synthesis Methodology for Intelligent Memory Interfaces in Accelerator Systems." In ASP-DAC 2025: 30th Asia and South Pacific Design Automation Conference.
  • Nazaralijev R.,  Y. Zhang, S. Dutta,  A. Marquez,  K. Barker, and N. Abu-Ghazaleh. 2025. “Not so Refreshing: Attacking GPUs using RFM Rowhammer Mitigation.” In Proceedings of the 34th USENIX Security Symposium, August 13-15, 2025, Seattle, WA.
  • Gajaria D., and A. Marquez. 11/19/2024. "Bringing it HOME: Analyzing contention hotspots across the memory hierarchy with low overhead." Presented by D. Gajaria at Supercomputing 2024,  Atlanta, Georgia. PNNL-SA-202246. 
  • Suetterlein J.D., J.B. Manzano Franco, and A. Marquez. 2024. "Synchronization for CXL Based Memory." In 10th International Symposium on Memory Systems. PNNL-SA-200085.
  • Kang Y., S. Ghosh, M. Kandemir, and A.  Marquez. 2024. Stalls and Memory Analysis on Fujitsu A64FX and NVIDIA Grace. General poster, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2024). PNNL-SA-203529
  • Devulapally A., M. Halappanavar, A. Puri, V. Narayanan, and A. Marquez. 2024. "Using Isoefficiency as a Metric to Assess Disaggregated Memory Systems for High Performance Computing." In MEMSYS 2024. PNNL-SA-200088.
  • Barone C., R. Kushwah, A.M. Limaye, V.G. Castellana, G. Gozzi, M. Fiorito, and F. Ferrandi, et al. 2024. "To Cache or not to Cache? Exploring the Design Space of Tunable, HLS-generated Accelerators." In MEMSYS '24: Proceedings of the International Symposium on Memory Systems. PNNL-SA-200208.
  • Ghiya A., D. Gajaria, and A. Marquez. 08/22/2024. "Row, Row, Row Your Buffer: Predicting Contention Delays Through Access Type Sequencing." Abstract submitted to Gold Experience August Intern Research Symposium, Online Conference, United States. PNNL-SA-202554.
  • Limaye A.M., N. Bohm Agostini, C. Barone, V.G. Castellana, M. Fiorito, F. Ferrandi, and A. Marquez, et al. 2024. "A Synthesis Methodology for Intelligent Memory Interfaces in Accelerator Systems." In ASP-DAC 2025: 30th Asia and South Pacific Design Automation Conference. PNNL-SA-181728.
  • Gajaria D., and A. Marquez. 06/03/2024. "Identifying and analyzing contention hotspots across the memory hierarchy." Abstract submitted to Techfest 2024, Richland, Washington. PNNL-SA-196233.
  • Subasi O., S. Ghosh, J.B. Manzano Franco, B.J. Palmer, and A. Marquez. 2024. "Analysis of Feature Reduction for Classification Under Computational Constraints." Machine Learning 5. PNNL-SA-189398. doi:10.1088/2632-2153/ad3726
  • Ghosh S., and A. Marquez. 2024. "Impact of Write-Allocate Elimination for Graph Analytics on Fujitsu A64FX." In International Workshop on Arm-based HPC: Practice and Experience (IWAHPCE-2024). PNNL-SA-177618.
  • Limaye A.M., N. Bohm Agostini, V.G. Castellana, C. Barone, M. Fiorito, F. Ferrandi, and A. Marquez, et al. 2023. "Designing Intelligent Memory Interfaces to Improve Accelerator-based System Performance." In IEEE/ACM 42nd International Conference on Computer-Aided Design (ICCAD 2023), October 29 - November 2, 2023, San Francisco, CA. PNNL-SA-185507.
  • Marquez A. 09/26/2023. "Presentation to HPDA Sponsor." Presented by A. Marquez at HPDA sponsor presentation,  Richland, Washington. PNNL-SA-190516.
  • Limaye A.M., N. Bohm Agostini, V.G. Castellana, A. Tumeo, and A. Marquez. 08/15/2023. "Designing Intelligent Memory Interfaces to Improve Accelerator-based System Performance." Abstract submitted to PNNL 2023 Postgraduate Research Symposium, Richland, Washington. PNNL-SA-186435.
  • Marquez A. 11/03/2022. "Advanced Memory to Support AI for Science:  Program Overview." Presented by A. Marquez at Review,  Online, United States. PNNL-SA-179346.
  • Marquez A., J.A. Ang, K.J. Barker, S. Ghosh, S.B. Dutta, A. Tumeo, and N.R. Tallent, et al. 2022. AIAMSv1'22. PNNL-33309. Richland, WA: Pacific Northwest National Laboratory. Marquez A., J.A. Ang, K.J. Barker, S. Ghosh, S.B. Dutta, A. Tumeo, and N.R. Tallent, et al. "AIAMSv1'22." PNNL-33309.ms. PNNL-SA-203239.

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