POSTER: An Architecture and Programming Model for Accelerating Parallel Commutative Computations via Privatization. - Vignesh Balaji; Dhruva Tirumala; Brandon Lucia (PPoPP, 2017)

Intermittent Computing: Challenges and Opportunities. - Brandon Lucia; Vignesh Balaji; Alexei Colin; Kiwan Maeng; Emily Ruppel (SNAPL, 2017)

Flexible Support for Fast Parallel Commutative Updates. - Vignesh Balaji; Dhruva Tirumala; Brandon Lucia (CoRR, 2017)

When is Graph Reordering an Optimization? Studying the Effect of Lightweight Graph Reordering Across Applications and Input Graphs. - Vignesh Balaji; Brandon Lucia (IISWC, 2018)

Combining Data Duplication and Graph Reordering to Accelerate Parallel Graph Processing. - Vignesh Balaji; Brandon Lucia (HPDC, 2019)

Peacenik: Architecture Support for Not Failing under Fail-Stop Memory Consistency. - Rui Zhang; Swarnendu Biswas; Vignesh Balaji; Michael D. Bond; Brandon Lucia (ASPLOS, 2020)

Optimizing Graph Processing and Preprocessing with Hardware Assisted Propagation Blocking. - Vignesh Balaji; Brandon Lucia (CoRR, 2020)

P-OPT: Practical Optimal Cache Replacement for Graph Analytics. - Vignesh Balaji; Neal Clayton Crago; Aamer Jaleel; Brandon Lucia (HPCA, 2021)

Neat: Low-Complexity, Efficient On-Chip Cache Coherence. - Rui Zhang; Swarnendu Biswas; Vignesh Balaji; Michael D. Bond; Brandon Lucia (CoRR, 2021)

Improving Locality of Irregular Updates with Hardware Assisted Propagation Blocking. - Vignesh Balaji; Brandon Lucia (HPCA, 2022)

Input, Representation, and Access Pattern Guided Cache Locality Optimizations for Graph Analytics. - Vignesh Balaji (2022)

Community-based Matrix Reordering for Sparse Linear Algebra Optimization. - Vignesh Balaji; Neal Clayton Crago; Aamer Jaleel; Stephen W. Keckler (ISPASS, 2023)

Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. - Michael Pellauer; Jason Clemons; Vignesh Balaji; Neal Clayton Crago; Aamer Jaleel; Donghyuk Lee; Mike O'Connor; Anghsuman Parashar; Sean Treichler; Po-An Tsai; Stephen W. Keckler; Joel S. Emer (ACM Trans. Comput. Syst., 2023)

Efficient GNN Training Through Structure-Aware Randomized Mini-Batching. - Vignesh Balaji; Christos Kozyrakis; Gal Chechik; Haggai Maron (CoRR, 2025)