Soroush Ghodrati

Orcid: 0000-0001-5514-8027

According to our database1, Soroush Ghodrati authored at least 21 papers between 2018 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators.
ACM Trans. Design Autom. Electr. Syst., 2025

2024
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst., 2024

Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

In-Storage Domain-Specific Acceleration for Serverless Computing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Tandem Processor: Grappling with Emerging Operators in Neural Networks.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Architecting Machines for Green Intelligence
PhD thesis, 2023

Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators.
CoRR, 2023

Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations.
CoRR, 2023

Domain-Specific Computational Storage for Serverless Computing.
CoRR, 2023

MESA: Microarchitecture Extensions for Spatial Architecture Generation.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.
IEEE Micro, 2022

Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

Accelerating attention through gradient-based learned runtime pruning.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Computational Stack for Cross-Domain Acceleration.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Bit-Parallel Vector Composability for Neural Acceleration.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic.
CoRR, 2019

2018
FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018


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