30 citations · 45 across the 9 of their papers we have counts for
9 papers
An Asynchronous and Low-Power True Random Number Generator using STT-MTJ
Ben Perach, Shahar Kvatinsky
The emerging Spin Transfer Torque Magnetic Tunnel Junction (STT-MTJ) technology exhibits interesting stochastic behavior combined with small area and low operation energy. It is, t…
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…
ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory
Marcel Khalifa, Barak Hoffer, Orian Leitersdorf +4
DNA sequence classification is a fundamental task in computational biology with vast implications for applications such as disease prevention and drug design. Therefore, fast high-…
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…
On Consistency for Bulk-Bitwise Processing-in-Memory
Ben Perach, Ronny Ronnen, Shahar Kvatinsky
Processing-in-memory (PIM) architectures allow software to explicitly initiate computation in the memory. This effectively makes PIM operations a new class of memory operations, al…
Understanding Bulk-Bitwise Processing In-Memory Through Database Analytics
Ben Perach, Ronny Ronen, Benny Kimelfeld +1
Bulk-bitwise processing-in-memory (PIM), where large bitwise operations are performed in parallel by the memory array itself, is an emerging form of computation with the potential…
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems
Ronny Ronen, Adi Eliahu, Orian Leitersdorf +5
Nowadays, data-intensive applications are gaining popularity and, together with this trend, processing-in-memory (PIM)-based systems are being given more attention and have become…
Efficient Error-Correcting-Code Mechanism for High-Throughput Memristive Processing-in-Memory
Orian Leitersdorf, Ben Perach, Ronny Ronen +1
Inefficient data transfer between computation and memory inspired emerging processing-in-memory (PIM) technologies. Many PIM solutions enable storage and processing using memristor…
Training of Quantized Deep Neural Networks using a Magnetic Tunnel Junction-Based Synapse
Tzofnat Greenberg Toledo, Ben Perach, Itay Hubara +2
Quantized neural networks (QNNs) are being actively researched as a solution for the computational complexity and memory intensity of deep neural networks. This has sparked efforts…