b'Onur Mutlu'

research

∙ 08/21/2023

Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator

We present Ramulator 2.0, a highly modular and extensible DRAM simulator...

0 Haocong Luo, et al. ∙

research

∙ 06/29/2023

RowPress: Amplifying Read Disturbance in Modern DRAM Chips

Memory isolation is critical for system reliability, security, and safet...

0 Haocong Luo, et al. ∙

research

∙ 06/28/2023

Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors

Our ISCA 2014 paper provided the first scientific and detailed character...

0 Onur Mutlu, et al. ∙

research

∙ 06/28/2023

Retrospective: An Experimental Study of Data Retention Behavior in Modern DRAM Devices: Implications for Retention Time Profiling Mechanisms

Our ISCA 2013 paper provides a fundamental empirical understanding of tw...

0 Onur Mutlu, et al. ∙

research

∙ 06/28/2023

Retrospective: RAIDR: Retention-Aware Intelligent DRAM Refresh

Dynamic Random Access Memory (DRAM) is the prevalent memory technology u...

0 Onur Mutlu, et al. ∙

research

∙ 06/27/2023

Retrospective: A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing

Our ISCA 2015 paper provides a new programmable processing-in-memory (PI...

0 Junwhan Ahn, et al. ∙

research

∙ 05/31/2023

Memory-Centric Computing

Memory-centric computing aims to enable computation capability in and ne...

0 Onur Mutlu, et al. ∙

research

∙ 05/29/2023

An Experimental Analysis of RowHammer in HBM2 DRAM Chips

RowHammer (RH) is a significant and worsening security, safety, and reli...

0 Ataberk Olgun, et al. ∙

research

∙ 05/12/2023

Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses

The performance and capacity of solid-state drives (SSDs) are continuous...

0 Rakesh Nadig, et al. ∙

research

∙ 04/30/2023

Accelerating Genome Analysis via Algorithm-Architecture Co-Design

High-throughput sequencing (HTS) technologies have revolutionized the fi...

0 Onur Mutlu, et al. ∙

research

∙ 04/03/2023

TransPimLib: A Library for Efficient Transcendental Functions on Processing-in-Memory Systems

Processing-in-memory (PIM) promises to alleviate the data movement bottl...

0 Maurus Item, et al. ∙

research

∙ 03/06/2023

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation

Fast and accurate climate simulations and weather predictions are critic...

0 Gagandeep Singh, et al. ∙

research

∙ 01/17/2023

High-Performance and Scalable Agent-Based Simulation with BioDynaMo

Agent-based modeling plays an essential role in gaining insights into bi...

0 Lukas Breitwieser, et al. ∙

research

∙ 01/15/2023

RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs

In recent years, Convolutional Neural Networks (CNNs) have become the st...

0 André Santos, et al. ∙

research

∙ 12/13/2022

ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems

Partitioning applications between NDP and host CPU cores causes inter-se...

0 Nika Mansouri-Ghiasi, et al. ∙

research

∙ 12/09/2022

TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering

Basecalling is an essential step in nanopore sequencing analysis where t...

0 Meryem Banu Cavlak, et al. ∙

research

∙ 11/22/2022

Utopia: Efficient Address Translation using Hybrid Virtual-to-Physical Address Mapping

The conventional virtual-to-physical address mapping scheme enables a vi...

0 Konstantinos Kanellopoulos, et al. ∙

research

∙ 11/20/2022

TuRaN: True Random Number Generation Using Supply Voltage Underscaling in SRAMs

Prior works propose SRAM-based TRNGs that extract entropy from SRAM arra...

0 Ismail Emir Yuksel, et al. ∙

research

∙ 11/15/2022

Taming Large-Scale Genomic Analyses via Sparsified Genomics

Searching for similar genomic sequences is an essential and fundamental ...

0 Mohammed Alser, et al. ∙

research

∙ 11/14/2022

Fundamentally Understanding and Solving RowHammer

We provide an overview of recent developments and future directions in t...

0 Onur Mutlu, et al. ∙

research

∙ 11/10/2022

DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips

To understand and improve DRAM performance, reliability, security and en...

0 Ataberk Olgun, et al. ∙

research

∙ 11/10/2022

NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators

Resistive Random-Access Memory (RRAM) is well-suited to accelerate neura...

5 Aditya Manglik, et al. ∙

research

∙ 11/08/2022

Accelerating Time Series Analysis via Processing using Non-Volatile Memories

Time Series Analysis (TSA) is a critical workload for consumer-facing de...

0 Ivan Fernandez, et al. ∙

research

∙ 11/06/2022

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Nanopore sequencing generates noisy electrical signals that need to be c...

0 Gagandeep Singh, et al. ∙

research

∙ 10/16/2022

RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory

Recent nano-technological advances enable the Monolithic 3D (M3D) integr...

0 Nika Mansouri-Ghiasi, et al. ∙

research

∙ 10/08/2022

SpyHammer: Using RowHammer to Remotely Spy on Temperature

RowHammer is a DRAM vulnerability that can cause bit errors in a victim ...

0 Lois Orosa, et al. ∙

research

∙ 09/21/2022

HiRA: Hidden Row Activation for Reducing Refresh Latency of Off-the-Shelf DRAM Chips

DRAM is the building block of modern main memory systems. DRAM cells mus...

0 Abdullah Giray Yağlıkçı, et al. ∙

research

∙ 09/19/2022

Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud

Neural networks (NNs) are growing in importance and complexity. A neural...

33 Geraldo F. Oliveira, et al. ∙

research

∙ 09/18/2022

GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping

Nanopore sequencing is a widely-used high-throughput genome sequencing t...

0 Haiyu Mao, et al. ∙

research

∙ 09/12/2022

Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory

Bulk bitwise operations, i.e., bitwise operations on large bit vectors, ...

0 Jisung Park, et al. ∙

research

∙ 09/01/2022

Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction

Long-latency load requests continue to limit the performance of high-per...

18 Rahul Bera, et al. ∙

research

∙ 08/24/2022

ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations

Important graph mining problems such as Clustering are computationally d...

0 Maciej Besta, et al. ∙

research

∙ 08/22/2022

LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning

Machine learning has recently gained traction as a way to overcome the s...

11 Gagandeep Singh, et al. ∙

research

∙ 08/21/2022

Scrooge: A Fast and Memory-Frugal Genomic Sequence Aligner for CPUs, GPUs, and ASICs

Motivation: Pairwise sequence alignment is a very time-consuming step in...

0 Joël Lindegger, et al. ∙

research

∙ 08/02/2022

A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems

Sequence alignment is a fundamentally memory bound computation whose per...

0 Safaa Diab, et al. ∙

research

∙ 07/27/2022

Sectored DRAM: An Energy-Efficient High-Throughput and Practical Fine-Grained DRAM Architecture

There are two major sources of inefficiency in computing systems that us...

0 Ataberk Olgun, et al. ∙

research

∙ 07/27/2022

A Case for Self-Managing DRAM Chips: Improving Performance, Efficiency, Reliability, and Security via Autonomous in-DRAM Maintenance Operations

The memory controller is in charge of managing DRAM maintenance operatio...

0 Hasan Hassan, et al. ∙

research

∙ 07/20/2022

ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis

Profile hidden Markov models (pHMMs) are widely used in many bioinformat...

20 Can Firtina, et al. ∙

research

∙ 07/16/2022

An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System

Training machine learning (ML) algorithms is a computationally intensive...

32 Juan Gomez-Luna, et al. ∙

research

∙ 06/20/2022

Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices

RowHammer is a circuit-level DRAM vulnerability, where repeatedly activa...

0 A. Giray Yaglıkçı, et al. ∙

research

∙ 06/14/2022

COVIDHunter: COVID-19 pandemic wave prediction and mitigation via seasonality-aware modeling

Early detection and isolation of COVID-19 patients are essential for suc...

26 Mohammed Alser, et al. ∙

research

∙ 06/13/2022

Machine Learning Training on a Real Processing-in-Memory System

Training machine learning algorithms is a computationally intensive proc...

42 Juan Gomez-Luna, et al. ∙

research

∙ 06/04/2022

Demeter: A Fast and Energy-Efficient Food Profiler using Hyperdimensional Computing in Memory

Food profiling is an essential step in any food monitoring system needed...

0 Taha Shahroodi, et al. ∙

research

∙ 06/02/2022

Exploiting Near-Data Processing to Accelerate Time Series Analysis

Time series analysis is a key technique for extracting and predicting ev...

0 Ivan Fernandez, et al. ∙

research

∙ 06/01/2022

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques

DRAM-based main memory is used in nearly all computing systems as a majo...

0 Ataberk Olgun, et al. ∙

research

∙ 05/29/2022

Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases

Today's computing systems require moving data back-and-forth between com...

31 Geraldo F. Oliveira, et al. ∙

research

∙ 05/29/2022

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures

The increasing prevalence and growing size of data in modern application...

0 Geraldo F. Oliveira, et al. ∙

research

∙ 05/16/2022

Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis

We now need more than ever to make genome analysis more intelligent. We ...

0 Mohammed Alser, et al. ∙

research

∙ 05/15/2022

Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning

Hybrid storage systems (HSS) use multiple different storage devices to p...

31 Gagandeep Singh, et al. ∙

research

∙ 05/12/2022

SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping

A critical step of genome sequence analysis is the mapping of sequenced ...

0 Damla Senol Cali, et al. ∙

Onur Mutlu

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