Salonik Resch

Orcid: 0000-0002-9050-3685

According to our database1, Salonik Resch authored at least 25 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
Experimental demonstration of magnetic tunnel junction-based computational random-access memory.
CoRR, 2023

On Endurance of Processing in (Nonvolatile) Memory.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2023

2022
Energy-efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions.
ACM Trans. Embed. Comput. Syst., September, 2022

CRAM-Seq: Accelerating RNA-Seq Abundance Quantification Using Computational RAM.
IEEE Trans. Emerg. Top. Comput., 2022

Benchmarking Quantum Computers and the Impact of Quantum Noise.
ACM Comput. Surv., 2022

Error Detection and Correction for Processing in Memory (PiM).
CoRR, 2022

On Variable Strength Quantum ECC.
IEEE Comput. Archit. Lett., 2022

2021
Spiking Neural Networks in Spintronic Computational RAM.
ACM Trans. Archit. Code Optim., 2021

Towards Homomorphic Inference Beyond the Edge.
CoRR, 2021

Accelerating Variational Quantum Algorithms Using Circuit Concurrency.
CoRR, 2021

Exploring the Feasibility of Using 3D XPoint as an In-Memory Computing Accelerator.
CoRR, 2021

A Day In the Life of a Quantum Error.
IEEE Comput. Archit. Lett., 2021

Cryogenic PIM: Challenges & Opportunities.
IEEE Comput. Archit. Lett., 2021

Seeds of SEED: H-CRAM: In-memory Homomorphic Search Accelerator using Spintronic Computational RAM.
Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021

CAMeleon: Reconfigurable B(T)CAM in Computational RAM.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020
PIMBALL: Binary Neural Networks in Spintronic Memory.
ACM Trans. Archit. Code Optim., 2020

An Inference and Learning Engine for Spiking Neural Networks in Computational RAM (CRAM).
CoRR, 2020

MOUSE: Inference In Non-volatile Memory for Energy Harvesting Applications.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

CRAFFT: High Resolution FFT Accelerator In Spintronic Computational RAM.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
A Machine Learning Accelerator In-Memory for Energy Harvesting.
CoRR, 2019

Using Spin-Hall MTJs to Build an Energy-Efficient In-memory Computation Platform.
Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

True In-memory Computing with the CRAM: From Technology to Applications.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018
Computational RAM to Accelerate String Matching at Scale.
CoRR, 2018

Exploiting Processing in Non-Volatile Memory for Binary Neural Network Accelerators.
CoRR, 2018


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