Peruse and Profit: Estimating the Accelerability of Loops. - Snehasish Kumar; Vijayalakshmi Srinivasan; Amirali Sharifian; Nick Sumner; Arrvindh Shriraman (ICS, 2016)

Chainsaw: Von-neumann accelerators to leverage fused instruction chains. - Amirali Sharifian; Snehasish Kumar; Apala Guha; Arrvindh Shriraman (MICRO, 2016)

TAPAS: Generating Parallel Accelerators from Parallel Programs. - Steve Margerm; Amirali Sharifian; Apala Guha; Arrvindh Shriraman; Gilles Pokam (MICRO, 2018)

μIR -An intermediate representation for transforming and optimizing the microarchitecture of application accelerators. - Amirali Sharifian; Reza Hojabr; Navid Rahimi; Sihao Liu; Apala Guha; Tony Nowatzki; Arrvindh Shriraman (MICRO, 2019)

SPAGHETTI: Streaming Accelerators for Highly Sparse GEMM on FPGAs. - Reza Hojabr; Ali Sedaghati; Amirali Sharifian; Ahmad Khonsari; Arrvindh Shriraman (HPCA, 2021)

mu-grind: A Framework for Dynamically Instrumenting HLS-Generated RTL. - Parmida Vahdatniya; Amirali Sharifian; Reza Hojabr; Arrvindh Shriraman (PACT, 2022)

Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System. - Kylee Santos; Stan G. Moore; Tomas Oppelstrup; Amirali Sharifian; Ilya Sharapov; Aidan P. Thompson; Delyan Z. Kalchev; Danny Perez; Robert Schreiber; Scott Pakin; Edgar A. Leon; James H. Laros III; et al. (SC, 2024)

Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware. - Danny Perez; Aidan P. Thompson; Stan G. Moore; Tomas Oppelstrup; Ilya Sharapov; Kylee Santos; Amirali Sharifian; Delyan Z. Kalchev; Robert Schreiber; Scott Pakin; Edgar A. Leon; James H. Laros III; et al. (CoRR, 2024)