13 citations · 60 across the 21 of their papers we have counts for
5 papers · 1 filter
PyPIM: Integrating Digital Processing-in-Memory from Microarchitectural Design to Python Tensors
Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky
Digital processing-in-memory (PIM) architectures mitigate the memory wall problem by facilitating parallel bitwise operations directly within the memory. Recent works have demonstr…
Accelerating Relational Database Analytical Processing with Bulk-Bitwise Processing-in-Memory
Ben Perach, Ronny Ronen, Shahar Kvatinsky
Online Analytical Processing (OLAP) for relational databases is a business decision support application. The application receives queries about the business database, usually reque…
Performance Analysis of Digital Processing-in-Memory through a Case Study on Convolutional-Neural-Network Acceleration
Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky
Processing-in-Memory (PIM) architectures are evolving to minimize data movement by leveraging the same physical devices for both memory and logic functionalities. While analog PIM…
FourierPIM: High-Throughput In-Memory Fast Fourier Transform and Polynomial Multiplication
Orian Leitersdorf, Yahav Boneh, Gonen Gazit +2
The Discrete Fourier Transform (DFT) is essential for various applications ranging from signal processing to convolution and polynomial multiplication. The groundbreaking Fast Four…
Enabling Relational Database Analytical Processing in Bulk-Bitwise Processing-In-Memory
Ben Perach, Ronny Ronen, Shahar Kvatinsky
Bulk-bitwise processing-in-memory (PIM), an emerging computational paradigm utilizing memory arrays as computational units, has been shown to benefit database applications. This pa…