Sponsored by Microsoft, the ACM Student Research Competition (SRC) is a forum for undergraduates and graduate students to share their research results, exchange ideas and improve their communication skills while competing for prizes. The SRC consists of two rounds: a poster session and a presentation session. Below is the list of accepted posters for the SRC poster session. A panel of judges will select a number of finalists from a virtual poster session, who will be invited to a second-round SRC presentation session during MICRO 2021 and compete for the prizes. The evaluation will be concentrated on the quality of both visual and oral presentation, the research methods and the significance of contribution. You can find more information on the ACM Student Research Competition website.

SRC Poster & Presentation Times

  • Poster Session: held virtually for judges only
  • SRC Finalist Presentations: October 20, 2021, 11:15 AM – 12:15 PM EDT / 18:15 – 19:15 EEST

View Recording of Finalist Presentations

Undergraduate Winners

First Place, Undergraduate
Tuesday, 11:15 AM EDT / 18:15 EEST
HWC: Profile-Guided Branch Target Buffer Replacement for Data Center Applications
Shixin Song (undergrad)
Second Place, Undergraduate
Tuesday, 11:25 AM EDT / 18:25 EEST
LAVIA: Locality-Aware Vector Indexed Architecture for Efficient Graph Processing
Shabnam Sheikhha (undergrad)
Third Place, Undergraduate
Tuesday, 11:35 AM EDT / 18:35 EEST
CNN-Based Position Decoding from Calcium Images
Jim Zhou (undergrad)

Graduate Winners

First Place, Graduate
Tuesday, 11:45 AM EDT / 18:45 EEST
SpecPref: High Performing Speculative Attacks Resilient Hardware Prefetchers
Tarun Solanki (grad)
Second Place, Graduate
Tuesday, 12:05 PM EDT / 17:05 EEST
Instruction Criticality-Based Energy-Efficient Hardware Data Prefetching
Neelu Shivprakash Kalani (grad)
Third Place, Graduate
Tuesday, 11:55 AM EDT / 18:55 EEST
Transformers Acceleration with Dynamic Sparse Attention
Liu Liu (grad)

First-Round Competitors

HAMSA-DI: A Dual-Issue RISC-V Core for Embedded Neural Network Acceleration
Yehuda Kra (grad)
Dense Graph Optimisation with the Recursive Quantum Approximate Optimization Algorithm
Rohan Kumar (undergrad)
Address Translation Aware Cache Hierarchy Management for High Performance Caching
Vasudha (grad)
Leveraging Page Size Information to Enhance Data Cache Prefetching
Georgios Vavouliotis (grad)
Understanding GPU Variability in Supercomputers
Prasoon Sinha (undergrad)
Accelerating Graph Convolution Networks Targeting Small Graphs
Atefeh Sohrabizadeh (grad)
EDCAM: Edit Distance Tolerant Content-Addressable Memory
Robert Hanhan (undergrad)
Learning-Based Denial-of-Service Attack Mitigation in Network-on-Chip Architectures
Chamika Ishan Sudusinghe (undergrad)
Predicting Performance of Deep Neural Network Schedules Across Accelerator Designs
Charles Hong (undergrad)
Revisiting Browser Page-Load Time from an Architectural Perspective
Yongye Zhu (undergrad)