Vidushi Dadu

According to our database, Vidushi Dadu authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion.

Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee, Hanna Alam, Brett W. Coon, David E. Culler, Vidushi Dadu, Martin Dixon, Henry M. Levy, Santosh Pandey, Parthasarathy Ranganathan, Amir Yazdanbakhsh

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving.

Wenqi Jiang, Suvinay Subramanian, Cat Graves, Gustavo Alonso, Amir Yazdanbakhsh, Vidushi Dadu

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2023

Profiling Hyperscale Big Data Processing.

Abraham Gonzalez, Aasheesh Kolli, Samira Manabi Khan, Sihang Liu, Vidushi Dadu, Sagar Karandikar, Jichuan Chang, Krste Asanovic, Parthasarathy Ranganathan

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Generalizing Programmable Accelerators for Irregularity

Vidushi Dadu

PhD thesis, 2022

TaskStream: accelerating task-parallel workloads by recovering program structure.

Vidushi Dadu, Tony Nowatzki

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

PolyGraph: Exposing the Value of Flexibility for Graph Processing Accelerators.

Vidushi Dadu, Sihao Liu, Tony Nowatzki

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

Towards General-Purpose Acceleration: Finding Structure in Irregularity.

Vidushi Dadu, Jian Weng, Sihao Liu, Tony Nowatzki

IEEE Micro, 2020

DSAGEN: Synthesizing Programmable Spatial Accelerators.

Jian Weng, Sihao Liu, Vidushi Dadu, Zhengrong Wang, Preyas Shah, Tony Nowatzki

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

A Hybrid Systolic-Dataflow Architecture for Inductive Matrix Algorithms.

Jian Weng, Sihao Liu, Zhengrong Wang, Vidushi Dadu, Tony Nowatzki

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2019

Exploiting Fine-Grain Ordered Parallelism in Dense Matrix Algorithms.

Jian Weng, Vidushi Dadu, Tony Nowatzki

CoRR, 2019

DAEGEN: A Modular Compiler for Exploring Decoupled Spatial Accelerators.

Jian Weng, Sihao Liu, Vidushi Dadu, Tony Nowatzki

IEEE Comput. Archit. Lett., 2019

Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms.

Vidushi Dadu, Jian Weng, Sihao Liu, Tony Nowatzki

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019