13 citations · 18 across the 6 of their papers we have counts for
9 papers
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…
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices
Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo +8
The tunability of conductance states of various emerging non-volatile memristive devices emulates the plasticity of biological synapses, making it promising in the hardware realiza…
Making Memristive Processing-in-Memory Reliable
Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky
Processing-in-memory (PIM) solutions vastly accelerate systems by reducing data transfer between computation and memory. Memristors possess a unique property that enables storage a…
MultPIM: Fast Stateful Multiplication for Processing-in-Memory
Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky
Processing-in-memory (PIM) seeks to eliminate computation/memory data transfer using devices that support both storage and logic. Stateful logic techniques such as IMPLY, MAGIC and…
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…