SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. - Konstantinos Kanellopoulos; Nandita Vijaykumar; Christina Giannoula; Roknoddin Azizi; Skanda Koppula; Nika Mansouri-Ghiasi; Taha Shahroodi; Juan Gómez-Luna; Onur Mutlu (MICRO, 2019)

EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM. - Skanda Koppula; Lois Orosa 001; Abdullah Giray Yaglikçi; Roknoddin Azizi; Taha Shahroodi; Konstantinos Kanellopoulos; Onur Mutlu (MICRO, 2019)

Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques. - Jeremie S. Kim; Minesh Patel; Abdullah Giray Yaglikçi; Hasan Hassan; Roknoddin Azizi; Lois Orosa 001; Onur Mutlu (ISCA, 2020)

BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows. - Abdullah Giray Yaglikçi; Minesh Patel; Jeremie S. Kim; Roknoddin Azizi; Ataberk Olgun; Lois Orosa 001; Hasan Hassan; Jisung Park 001; Konstantinos Kanellopoulos; Taha Shahroodi; Saugata Ghose; Onur Mutlu (HPCA, 2021)

Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory. - Jisung Park 001; Roknoddin Azizi; Geraldo F. Oliveira; Mohammad Sadrosadati; Rakesh Nadig; David Novo; Juan Gómez-Luna; Myungsuk Kim; Onur Mutlu (MICRO, 2022)