Dissertation

Vidushi Dadu.
Generalizing Programmable Accelerators for Irregularity.
[dissertation]

Conference Publications

Abraham Gonzalez, Aasheesh Kolli, Samira Khan, Sihang Liu, Vidushi Dadu, Sagar Karandikar, Jichuan Chang, Krste Asanovic, Parthasarathy Ranganathan.
Profiling Warehouse-Scale Big Data Processing Platforms For Acceleration: A Limits Study.
In the International Symposium on Computer Architecture (ISCA), 2023. [paper]

Vidushi Dadu and Tony Nowatzki.
TaskStream: Accelerating Task-Parallel Workloads by Recovering Program Structure
In the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022. [paper] [slides][full talk]

Vidushi Dadu, Sihao Liu and Tony Nowatzki.
PolyGraph: Exposing the Value of Flexibility for Graph Processing Accelerators. [IEEE Micro Top Picks 2022 for Novelty and Long-term Impact.]
In the International Symposium on Computer Architecture (ISCA), 2021. [paper][slides][full talk]

Jian Weng*, Sihao Liu*, Vidushi Dadu, Zhengrong Wang and Tony Nowatzki.
DSAGEN: Synthesizing Programmable Spatial Accelerators. [IEEE Micro Honorable Mention 2021.]
In the International Symposium on Computer Architecture (ISCA), 2020. [paper] [slides]

Jian Weng, Sihao Liu, Zhengrong Wang, Vidushi Dadu and Tony Nowatzki.
A Hybrid Systolic-Dataflow Architecture for Inductive Matrix Algorithms.
In the 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020. [paper] [slides]

Vidushi Dadu, Jian Weng, Sihao Liu, Tony Nowatzki.
Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms. [IEEE Micro Top Picks 2020 for Novelty and Long-term Impact]
In the 52nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-52), 2019. [paper] [slides][lightning talk]

Journal Publications

Vidushi Dadu, Sihao Liu, Tony Nowatzki.
Systematically Understanding Graph Accelerator Dimensions and the Value of Hardware Flexibility.
In IEEE Micro Top Picks in Computer Architecture, 2022. [paper]

Vidushi Dadu, Jian Weng, Sihao Liu, Tony Nowatzki.
Towards General Purpose Acceleration: Finding Structure in Irregularity.
In IEEE Micro Top Picks in Computer Architecture, 2020. [paper]

Jian Weng, Sihao Liu, Vidushi Dadu and Tony Nowatzki.
DAEGEN: A Modular Compiler for Exploring Decoupled Spatial Accelerators.
In IEEE Computer Architecture Letters (CAL), 2019. [paper]

Tutorials and Workshops

Jian Weng, Vidushi Dadu, Sihao Liu, Tony Nowatzki.
Generality is the Key Dimension in Accelerator Design.
Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE'21) at ASPLOS, 2021.

Jian Weng, Sihao Liu, Vidushi Dadu, Tony Nowatzki.
DSAGEN: Democratizing Decoupled Spatial Architecture Research.
In the 53nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-53), 2020. [website][infrastructure]