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Thermal-aware workload distribution is a common approach in the literature for power consumption optimization in data centers. However, data centers also have other operational costs such as the cost of equipment maintenance and…

Systems and Control · Electrical Eng. & Systems 2023-08-25 Somayye Rostami , Douglas G. Down , George Karakostas

The memory consistency model is a fundamental system property characterizing a multiprocessor. The relative merits of strict versus relaxed memory models have been widely debated in terms of their impact on performance, hardware complexity…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-04-07 Alexander Jaffe , Thomas Moscibroda , Laura Effinger-Dean , Luis Ceze , Karin Strauss

As process technology scales down to smaller dimensions, DRAM chips become more vulnerable to disturbance, a phenomenon in which different DRAM cells interfere with each other's operation. For the first time in academic literature, our ISCA…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-03 Yoongu Kim , Ross Daly , Jeremie Kim , Chris Fallin , Ji Hye Lee , Donghyuk Lee , Chris Wilkerson , Konrad Lai , Onur Mutlu

This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which was published in HPCA 2015, and examines the work's significance and future potential. AL-DRAM is a mechanism that optimizes DRAM latency based on the DRAM module and…

Hardware Architecture · Computer Science 2018-05-09 Donghyuk Lee , Yoongu Kim , Gennady Pekhimenko , Samira Khan , Vivek Seshadri , Kevin Chang , Onur Mutlu

Load-forecasting problems have already been widely addressed with different approaches, granularities and objectives. Recent studies focus not only on deep learning methods but also on forecasting loads on single building level. This study…

Systems and Control · Electrical Eng. & Systems 2020-07-15 Thomas Steens , Jan-Simon Telle , Benedikt Hanke , Karsten von Maydell , Carsten Agert , Gian-Luca di Modica , Bernd Engel , Matthias Grottke

This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which was published in HPCA 2015. The key goal of AL-DRAM is to exploit the extra margin that is built into the DRAM timing parameters to reduce DRAM latency. The key…

Hardware Architecture · Computer Science 2016-03-29 Donghyuk Lee , Yoongu Kim , Gennady Pekhimenko , Samira Khan , Vivek Seshadri , Kevin Chang , Onur Mutlu

Over the past two decades, the storage capacity and access bandwidth of main memory have improved tremendously, by 128x and 20x, respectively. These improvements are mainly due to the continuous technology scaling of DRAM (dynamic…

Hardware Architecture · Computer Science 2017-12-25 Kevin K. Chang

On-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g., GPUs, FPGAs, ASICs to achieve high performance. Modern workloads such as Deep Neural Networks…

Hardware Architecture · Computer Science 2022-07-20 İsmail Emir Yüksel , Behzad Salami , Oğuz Ergin , Osman Sabri Ünsal , Adrian Cristal Kestelman

Modern DRAM chips are subject to read disturbance errors. State-of-the-art read disturbance mitigations rely on accurate and exhaustive characterization of the read disturbance threshold (RDT) (e.g., the number of aggressor row activations…

This article summarizes key results of our work on experimental characterization and analysis of latency variation and latency-reliability trade-offs in modern DRAM chips, which was published in SIGMETRICS 2016, and examines the work's…

Improvements in main memory storage density are primarily driven by process technology scaling, which negatively impacts reliability by exacerbating various circuit-level error mechanisms. To compensate for growing error rates, both memory…

Hardware Architecture · Computer Science 2022-04-25 Minesh Patel

We study scheduling problems motivated by recently developed techniques for microprocessor thermal management at the operating systems level. The general scenario can be described as follows. The microprocessor's temperature is controlled…

Data Structures and Algorithms · Computer Science 2008-01-29 Marek Chrobak , Christoph Durr , Mathilde Hurand , Julien Robert

Increasing single-cell DRAM error rates have pushed DRAM manufacturers to adopt on-die error-correction coding (ECC), which operates entirely within a DRAM chip to improve factory yield. The on-die ECC function and its effects on DRAM…

Hardware Architecture · Computer Science 2020-09-18 Minesh Patel , Jeremie S. Kim , Taha Shahroodi , Hasan Hassan , Onur Mutlu

Feature engineering is one of the most costly aspects of developing effective machine learning models, and that cost is even greater in specialized problem domains, like malware classification, where expert skills are necessary to identify…

Machine Learning · Computer Science 2019-08-02 Scott E. Coull , Christopher Gardner

This paper summarizes our work on experimentally characterizing, mitigating, and recovering read disturb errors in multi-level cell (MLC) NAND flash memory, which was published in DSN 2015, and examines the work's significance and future…

Hardware Architecture · Computer Science 2018-05-10 Yu Cai , Yixin Luo , Saugata Ghose , Erich F. Haratsch , Ken Mai , Onur Mutlu

Graphics processing units (GPUs) are gaining widespread use in computational chemistry and other scientific simulation contexts because of their huge performance advantages relative to conventional CPUs. However, the reliability of GPUs in…

Hardware Architecture · Computer Science 2009-11-14 Imran S. Haque , Vijay S. Pande

Approximately 18 percent of the 3.2 million smartphone applications rely on integrated graphics processing units (GPUs) to achieve competitive performance. Graphics performance, typically measured in frames per second, is a strong function…

Systems and Control · Electrical Eng. & Systems 2020-06-14 Ujjwal Gupta , Manoj Babu , Raid Ayoub , Michael Kishinevsky , Francesco Paterna , Suat Gumussoy , Umit Ogras

Material extrusion is one of the most commonly used approaches within the additive manufacturing processes available. Despite its popularity and related technical advancements, process reliability and quality assurance remain only partially…

Machine Learning · Computer Science 2024-06-21 Fátima García-Martínez , Diego Carou , Francisco de Arriba-Pérez , Silvia García-Méndez

State-of-the-art DRAM read disturbance mitigations rely on the read disturbance threshold (RDT) (e.g., the number of aggressor row activations needed to induce the first read disturbance bitflip) to securely and performance- and…

Hardware Architecture · Computer Science 2026-03-16 Ataberk Olgun , F. Nisa Bostanci , Ismail Emir Yuksel , Haocong Luo , Minesh Patel , A. Giray Yaglikci , Onur Mutlu

A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, identifying and ultimately resolve it quickly is highly important. However, in the production environment…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-17 Anshul Jindal , Paul Staab , Pooja Kulkarni , Jorge Cardoso , Michael Gerndt , Vladimir Podolskiy