Aditya Manglik

According to our database, Aditya Manglik authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking the Producer-Consumer Relationship in Modern DRAM-Based Systems.

Minesh Patel, Taha Shahroodi, Aditya Manglik, Abdullah Giray Yaglikçi, Ataberk Olgun, Haocong Luo, Onur Mutlu

CoRR, 2024

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis.

Ivan Fernandez, Christina Giannoula, Aditya Manglik, Ricardo Quislant, Nika Mansouri-Ghiasi, Juan Gómez-Luna, Eladio Gutiérrez, Oscar G. Plata, Onur Mutlu

IEEE Access, 2024

2022

NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators.

Aditya Manglik, Minesh Patel, Haiyu Mao, Behzad Salami, Jisung Park, Lois Orosa, Onur Mutlu

CoRR, 2022

Accelerating Time Series Analysis via Processing using Non-Volatile Memories.

Ivan Fernandez, Aditya Manglik, Christina Giannoula, Ricardo Quislant, Nika Mansouri-Ghiasi, Juan Gómez-Luna, Eladio Gutiérrez, Oscar G. Plata, Onur Mutlu

CoRR, 2022

RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory.

Nika Mansouri-Ghiasi, Mohammad Sadrosadati, Geraldo F. Oliveira, Konstantinos Kanellopoulos, Rachata Ausavarungnirun, Juan Gómez-Luna, Aditya Manglik, João Dinis Ferreira, Jeremie S. Kim, Christina Giannoula, Nandita Vijaykumar, Jisung Park, Onur Mutlu

CoRR, 2022

A Case for Transparent Reliability in DRAM Systems.

Minesh Patel, Taha Shahroodi, Aditya Manglik, Abdullah Giray Yaglikçi, Ataberk Olgun, Haocong Luo, Onur Mutlu

CoRR, 2022

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

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2020

Resistive Crossbar-Aware Neural Network Design and Optimization.

Muhammad Abdullah Hanif, Aditya Manglik, Muhammad Shafique

IEEE Access, 2020