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20182022
most citedBlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows

124 citations · 433 across the 23 of their papers we have counts for

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19 papers · 1 filter

cs.AR2022

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

Nika Mansouri Ghiasi, Nandita Vijaykumar, Geraldo F. Oliveira +7

Partitioning applications between NDP and host CPU cores causes inter-segment data movement overhead, which is caused by moving data generated from one segment (e.g., instructions,…

cs.AR2022★ 1 cited

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…

cs.AR2022

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

Ataberk Olgun, Hasan Hassan, A. Giray Yağlıkçı +6

To understand and improve DRAM performance, reliability, security and energy efficiency, prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art…

cs.AR2022★ 5 cited

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

Abdullah Giray Yağlıkçı, Ataberk Olgun, Minesh Patel +5

DRAM is the building block of modern main memory systems. DRAM cells must be periodically refreshed to prevent data loss. Refresh operations degrade system performance by interferi…

cs.AR2022★ 6 cited

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

A. Giray Yağlıkçı, Haocong Luo, Geraldo F. de Oliviera +7

RowHammer is a circuit-level DRAM vulnerability, where repeatedly activating and precharging a DRAM row, and thus alternating the voltage of a row's wordline between low and high v…

cs.AR2022

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

F. Nisa Bostancı, Ataberk Olgun, Lois Orosa +5

Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. T…

cs.AR2021

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

Lois Orosa, Yaohua Wang, Mohammad Sadrosadati +10

DRAM is the dominant main memory technology used in modern computing systems. Computing systems implement a memory controller that interfaces with DRAM via DRAM commands. DRAM exec…

cs.AR2021★ 5 cited

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

Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa +5

Data movement between the CPU and main memory is a first-order obstacle against improving performance, scalability, and energy efficiency in modern systems. Computer systems employ…

cs.AR2021★ 60 cited

pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables

João Dinis Ferreira, Gabriel Falcao, Juan Gómez-Luna +8

Data movement between the main memory and the processor is a key contributor to execution time and energy consumption in memory-intensive applications. This data movement bottlenec…

cs.AR2021

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

Jisung Park, Myungsuk Kim, Myoungjun Chun +3

3D NAND flash memory with advanced multi-level cell techniques provides high storage density, but suffers from significant performance degradation due to a large number of read-ret…

cs.AR2021

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

Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou +7

Near-Data-Processing (NDP) architectures present a promising way to alleviate data movement costs and can provide significant performance and energy benefits to parallel applicatio…

cs.AR2020★ 1 cited

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

Jisung Park, Myungsuk Kim, Myoungjun Chun +3

3D NAND flash memory with advanced multi-level cell techniques provides high storage density, but suffers from significant performance degradation due to a large number of read-ret…

cs.AR2020

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

Leonid Yavits, Lois Orosa, Suyash Mahar +4

Resistive memories have limited lifetime caused by limited write endurance and highly non-uniform write access patterns. Two main techniques to mitigate endurance-related memory fa…

cs.AR2020

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

Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim +5

Modern client processors typically use one of three commonly-used power delivery network (PDN): 1) motherboard voltage regulators (MBVR), 2) integrated voltage regulators (IVR), an…

cs.AR2020★ 7 cited

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

Yaohua Wang, Lois Orosa, Xiangjun Peng +8

DRAM Main memory is a performance bottleneck for many applications due to the high access latency. In-DRAM caches work to mitigate this latency by augmenting regular-latency DRAM w…

cs.AR2020

Optically Connected Memory for Disaggregated Data Centers

Jorge Gonzalez, Alexander Gazman, Maarten Hattink +8

Recent advances in integrated photonics enable the implementation of reconfigurable, high-bandwidth, and low energy-per-bit interconnects in next-generation data centers. We propos…

cs.AR2020★ 1 cited

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

Jeremie S. Kim, Minesh Patel, A. Giray Yaglikci +4

In order to shed more light on how RowHammer affects modern and future devices at the circuit-level, we first present an experimental characterization of RowHammer on 1580 DRAM chi…

cs.AR2020★ 9 cited

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

Haocong Luo, Taha Shahroodi, Hasan Hassan +5

DRAM is the prevalent main memory technology, but its long access latency can limit the performance of many workloads. Although prior works provide DRAM designs that reduce DRAM ac…

cs.AR2018

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

Jeremie S. Kim, Minesh Patel, Hasan Hassan +2

We propose a new DRAM-based true random number generator (TRNG) that leverages DRAM cells as an entropy source. The key idea is to intentionally violate the DRAM access timing para…