Can Firtina
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HPCA | GenPairX: A Hardware-Algorithm Co-Designed Accelerator for Paired-End Read Mapping. | Julien Eudine, Chu Li, Zhuo Cheng, Renzo Andri, Can Firtina, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Konstantina Koliogeorgi, Anirban Nag, Arash Tavakkol, Haiyu Mao, Onur Mutlu, Shai Bergman, Ji Zhang |
| 2026 | HPCA | SAGe: A Lightweight Algorithm-Architecture Co-Design for Mitigating the Data Preparation Bottleneck in Large-Scale Genome Sequence Analysis. | Nika Mansouri-Ghiasi, Talu Gloglu, Harun Mustafa, Can Firtina, Konstantina Koliogeorgi, Konstantinos Kanellopoulos, Haiyu Mao, Rakesh Nadig, Mohammad Sadrosadati, Jisung Park, Onur Mutlu |
| 2025 | ICS | MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem. | Melina Soysal, Konstantina Koliogeorgi, Can Firtina, Nika Mansouri-Ghiasi, Rakesh Nadig, Haiyu Mao, Geraldo Francisco de Oliveira Junior, Yu Liang, Klea Zambaku, Mohammad Sadrosadati, Onur Mutlu |
| 2024 | ISCA | MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing. | Nika Mansouri-Ghiasi, Mohammad Sadrosadati, Harun Mustafa, Arvid Gollwitzer, Can Firtina, Julien Eudine, Haiyu Mao, Jol Lindegger, Meryem Banu Cavlak, Mohammed Alser, Jisung Park, Onur Mutlu |
| 2023 | DAC | Invited: Accelerating Genome Analysis via Algorithm-Architecture Co-Design. | Onur Mutlu, Can Firtina |
| 2023 | MICRO | Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings. | Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, F. Nisa Bostanci, Can Firtina, Rachata Ausavarungnirun, Rakesh Kumar, Nastaran Hajinazar, Mohammad Sadrosadati, Nandita Vijaykumar, Onur Mutlu |
| 2023 | MICRO | Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. | Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Jol Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui |
| 2022 | ASPLOS | GenStore: a high-performance in-storage processing system for genome sequence analysis. | Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu |
| 2022 | ISCA | SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. | Damla Senol Cali, Konstantinos Kanellopoulos, Jol Lindegger, Zlal Bingl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gmez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu |
| 2022 | MICRO | GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. | Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu |
| 2020 | MICRO | GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. | Damla Senol Cali, Gurpreet S. Kalsi, Zlal Bingl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gmez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu |