17 citations · 20 across the 4 of their papers we have counts for
6 papers
Data-Centric and Data-Aware Frameworks for Fundamentally Efficient Data Handling in Modern Computing Systems
Nastaran Hajinazar
There is an explosive growth in the size of the input and/or intermediate data used and generated by modern and emerging applications. Unfortunately, modern computing systems are n…
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
Nastaran Hajinazar, Geraldo F. Oliveira, Sven Gregorio +7
Processing-using-DRAM has been proposed for a limited set of basic operations (i.e., logic operations, addition). However, in order to enable full adoption of processing-using-DRAM…
SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM
Nastaran Hajinazar, Geraldo F. Oliveira, Sven Gregorio +7
Processing-using-DRAM has been proposed for a limited set of basic operations (i.e., logic operations, addition). However, in order to enable the full adoption of processing-using-…
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework
Nastaran Hajinazar, Pratyush Patel, Minesh Patel +7
Computers continue to diversify with respect to system designs, emerging memory technologies, and application memory demands. Unfortunately, continually adapting the conventional v…
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study
Saugata Ghose, Tianshi Li, Nastaran Hajinazar +2
It has become increasingly difficult to understand the complex interaction between modern applications and main memory, composed of DRAM chips. Manufacturers are now selling and pr…
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures
Amirali Boroumand, Saugata Ghose, Minesh Patel +7
Processing-in-memory (PIM) architectures have seen an increase in popularity recently, as the high internal bandwidth available within 3D-stacked memory provides greater incentive…