Publications

Aninda Manocha, Zi Yan, Esin Tureci, Juan Luis Aragón, David Nellans, Margaret Martonosi (2022). The Implications of Page Size Management on Graph Analytics. In IISWC 2022.

PDF Code Project

Marcelo Orenes Vera, Aninda Manocha, Jonathan Balkind, Fei Gao, Juan Luis Aragón, Margaret Martonosi (2022). Tiny but Mighty: Designing and Realizing Scalable Latency Tolerance for Manycore SoCs. In ISCA 2022.

Aninda Manocha, Juan Luis Aragón, Margaret Martonosi (2022). GraphFire: Synergizing Fetch, Insertion, and Replacement Policies for Graph Analytics. In ToC 2022.

Aninda Manocha, Tyler Sorensen, Esin Tureci, Opeoluwa Matthews, Juan Luis Aragón, Margaret Martonosi (2021). GraphAttack: Optimizing Data Supply for Graph Applications on In-Order Multicore Architectures. In TACO 2021.

PDF Code Project

Marcelo Orenes Vera, Aninda Manocha, David Wentzlaff, Margaret Martonosi (2021). AutoSVA: Democratizing Formal Verification of RTL Module Interactions. In DAC 2021.

PDF Code Project

Tyler Sorensen, Aninda Manocha, Esin Tureci, Marcelo Orenes Vera, Juan L. Aragón, Margaret Martonosi (2020). [Invited Talk] A Simulator and Compiler Framework for Agile Hardware-Software Co-design Evaluation and Exploration. In ICCAD 2020.

PDF Code Project

Atefeh Mehrabi, Aninda Manocha, Benjamin C. Lee, Daniel J. Sorin (2020). Bayesian Optimization for Efficient Accelerator Synthesis. In TACO 2020.

Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes Vera, Esin Tureci, Tyler Sorensen, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi (2020). MosaicSim: A Lightweight, Modular Simulator for Heterogeneous Systems. In ISPASS 2020.

PDF Code Project Video

Atefeh Mehrabi, Aninda Manocha, Benjamin C. Lee, Daniel J. Sorin (2020). Prospector: Synthesizing Efficient Accelerators via Statistical Learning. In DATE 2020.

Atefeh Mehrabi, Aninda Manocha, Benjamin C. Lee, Daniel J. Sorin (2019). [Workshop] Prospector: Synthesizing Efficient Accelerators via Statistical Learning. In CWWMCA 2019.