6 citations · 15 across the 5 of their papers we have counts for
6 papers
Rethinking the Producer-Consumer Relationship in Modern DRAM-Based Systems
Minesh Patel, Taha Shahroodi, Aditya Manglik +4
Generational improvements to commodity DRAM throughout half a century have long solidified its prevalence as main memory across the computing industry. However, overcoming today's…
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Aditya Manglik, Minesh Patel, Haiyu Mao +4
Resistive Random-Access Memory (RRAM) is well-suited to accelerate neural network (NN) workloads as RRAM-based Processing-in-Memory (PIM) architectures natively support highly-para…
Accelerating Time Series Analysis via Processing using Non-Volatile Memories
Ivan Fernandez, Christina Giannoula, Aditya Manglik +6
Time Series Analysis (TSA) is a critical workload to extract valuable information from collections of sequential data, e.g., detecting anomalies in electrocardiograms. Subsequence…
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory
Nika Mansouri Ghiasi, Mohammad Sadrosadati, Geraldo F. Oliveira +9
Recent nano-technological advances enable the Monolithic 3D (M3D) integration of multiple memory and logic layers in a single chip, allowing for fine-grained connections between la…
GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping
Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati +6
Nanopore sequencing is a widely-used high-throughput genome sequencing technology that can sequence long fragments of a genome into raw electrical signals at low cost. Nanopore seq…
A Case for Transparent Reliability in DRAM Systems
Minesh Patel, Taha Shahroodi, Aditya Manglik +4
Today's systems have diverse needs that are difficult to address using one-size-fits-all commodity DRAM. Unfortunately, although system designers can theoretically adapt commodity…