b'Lois Orosa'

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Featured Co-authors

Onur Mutlu
199 publications
Muhammad Shafique
112 publications
Juan Gomez-Luna
59 publications
Saugata Ghose
48 publications
Hasan Hassan
36 publications
Mohammed Alser
35 publications
Jeremie S. Kim
27 publications
Minesh Patel
24 publications
Nandita Vijaykumar
23 publications
Ataberk Olgun
22 publications
Geraldo F. Oliveira
22 publications

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

∙ 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

∙ 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

∙ 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

∙ 02/04/2022

EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators

Dilated and transposed convolutions are widely used in modern convolutio...

15 Lois Orosa, et al. ∙

research

∙ 01/04/2022

DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators

Random number generation is an important task in a wide variety of criti...

0 F. Nisa Bostancı, et al. ∙

research

∙ 10/19/2021

A Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses

RowHammer is a circuit-level DRAM vulnerability where repeatedly accessi...

0 Lois Orosa, et al. ∙

research

∙ 06/10/2021

CODIC: A Low-Cost Substrate for Enabling Custom In-DRAM Functionalities and Optimizations

DRAM is the dominant main memory technology used in modern computing sys...

0 Lois Orosa, et al. ∙

research

∙ 06/09/2021

IChannels: Exploiting Current Management Mechanisms to Create Covert Channels in Modern Processors

To operate efficiently across a wide range of workloads with varying pow...

0 Jawad Haj-Yahya, et al. ∙

research

∙ 05/08/2021

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Data movement between the CPU and main memory is a first-order obstacle ...

0 Geraldo F. Oliveira, et al. ∙

research

∙ 04/15/2021

pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation

Data movement between main memory and the processor is a significant con...

0 João Dinis Ferreira, et al. ∙

research

∙ 03/25/2021

Reducing Solid-State Drive Read Latency by Optimizing Read-Retry

3D NAND flash memory with advanced multi-level cell techniques provides ...

0 Jisung Park, et al. ∙

research

∙ 02/11/2021

BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows

Aggressive memory density scaling causes modern DRAM devices to suffer f...

0 Abdullah Giray Yağlıkçı, et al. ∙

research

∙ 01/19/2021

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures

Near-Data-Processing (NDP) architectures present a promising way to alle...

0 Christina Giannoula, et al. ∙

research

∙ 01/04/2021

Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

Machine Learning (ML) techniques have been rapidly adopted by smart Cybe...

27 Muhammad Shafique, et al. ∙

research

∙ 12/22/2020

Reducing Solid-State Drive Read Latency by Optimizing Read-Retry (Extended Abstract)

3D NAND flash memory with advanced multi-level cell techniques provides ...

0 Jisung Park, et al. ∙

research

∙ 10/06/2020

WoLFRaM: Enhancing Wear-Leveling and Fault Tolerance in Resistive Memories using Programmable Address Decoders

Resistive memories have limited lifetime caused by limited write enduran...

0 Leonid Yavits, et al. ∙

research

∙ 09/18/2020

FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery Network for Energy-Efficient Microprocessors

Modern client processors typically use one of three commonly-used power ...

0 Jawad Haj-Yahya, et al. ∙

research

∙ 09/17/2020

FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching

DRAM Main memory is a performance bottleneck for many applications due t...

0 Yaohua Wang, et al. ∙

research

∙ 08/25/2020

Optically Connected Memory for Disaggregated Data Centers

Recent advances in integrated photonics enable the implementation of rec...

0 Jorge Gonzalez, et al. ∙

research

∙ 05/27/2020

Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques

In order to shed more light on how RowHammer affects modern and future d...

0 Jeremie S. Kim, et al. ∙

research

∙ 05/26/2020

CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off

DRAM is the prevalent main memory technology, but its long access latenc...

0 Haocong Luo, et al. ∙

research

∙ 10/12/2019

EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM

The effectiveness of deep neural networks (DNN) in vision, speech, and l...

0 Skanda Koppula, et al. ∙

research

∙ 02/19/2019

Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices

Low-cost devices are now commonplace and can be found in diverse environ...

0 Lois Orosa, et al. ∙

research

∙ 08/13/2018

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

We propose a new DRAM-based true random number generator (TRNG) that lev...

0 Jeremie S. Kim, et al. ∙

research

∙ 08/13/2018

D-RaNGe: Violating DRAM Timing Constraints for High-Throughput True Random Number Generation using Commodity DRAM Devices

DRAM provides a promising substrate for generating random numbers due to...

0 Jeremie S. Kim, et al. ∙

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