Searched for: subject%3A%22memories%22
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Liu, Q. (author), Ghodrat, Dr. Sepideh (author), Jansen, K.M.B. (author)
We developed a shape-changing constructive kit, named Mimosa1. A key component of the toolkit is the modular hinges, each of which is equipped with two antagonistic shape memory alloy (SMA) wires. One wire deforms the hinge to approach its predetermined angle at high temperature, and another wire drives the hinge back when it cools down....
conference paper 2024
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Lanfranco, Valerio (author), Luna-Navarro, Alessandra (author), Popescu, M.A. (author)
The higher complexity of adaptive façades with respect to conventional static façades hinders their applicability to the built environment. To address this, passive solutions aim at lowering the number of components while preserving the benefits of these systems. In this paper the design of a two-component passive dynamic sunshade that combines...
conference paper 2023
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Singh, A. (author), Bishnoi, R.K. (author), Kaichouhi, A. (author), Diware, S.S. (author), Joshi, R.V. (author), Hamdioui, S. (author)
Analog computation-in-memory (CIM) architecture alleviates massive data movement between the memory and the processor, thus promising great prospects to accelerate certain computational tasks in an energy-efficient manner. However, data converters involved in these architectures typically achieve the required computing accuracy at the expense...
conference paper 2023
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Breitwieser, Lukas (author), Hesam, A.S. (author), Rademakers, Fons (author), Luna, Juan Gómez (author), Mutlu, Onur (author)
Agent-based modeling plays an essential role in gaining insights into biology, sociology, economics, and other fields. However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the underlying simulation engines. To overcome this limitation, we present a novel high...
conference paper 2023
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Shahroodi, Taha (author), Miao, Michael (author), Zahedi, M.Z. (author), Wong, J.S.S.M. (author), Hamdioui, S. (author)
The high execution time of DNA sequence alignment negatively affects many genomic studies that rely on sequence alignment results. Pre-alignment filtering was introduced as a step before alignment to reduce the execution time of short-read sequence alignment greatly. With its success, i.e., achieving high accuracy and thus removing...
conference paper 2023
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Escuin, Carlos (author), García-Redondo, Fernando (author), Zahedi, M.Z. (author), Ibáñez, Pablo (author), Monreal, Teresa (author), Viñals, Victor (author), Llabería, José María (author), Myers, James (author), Ryckaert, Julien (author), Biswas, Dwaipayan (author), Catthoor, Francky (author)
This paper optimizes the MNEMOSENE architecture, a compute-in-memory (CiM) tile design integrating computation and storage for increased efficiency. We identify and address bottlenecks in the Row Data (RD) buffer that cause losses in performance. Our proposed approach includes mitigating these buffering bottlenecks and extending MNEMOSENE’s...
conference paper 2023
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Chen, Qinyu (author), Chang, Yaoxing (author), Kim, Kwantae (author), Gao, C. (author), Liu, Shih Chii (author)
Keyword spotting (KWS) is an important task on edge low-power audio devices. A typical edge KWS system consists of a front-end feature extractor which outputs mel-scale frequency cepstral coefficients (MFCC) features followed by a back-end neural network classifier. KWS edge designs aim for the best power-performance-area metrics. This work...
conference paper 2023
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Ortner, Thomas (author), Pes, Lorenzo (author), Gentinetta, Joris (author), Frenkel, C. (author), Pantazi, Angeliki (author)
Recurrent neural networks trained with the backpropagation through time (BPTT) algorithm have led to astounding successes in various temporal tasks. However, BPTT introduces severe limitations, such as the requirement to propagate information backwards through time, the weight symmetry requirement, as well as update-locking in space and time....
conference paper 2023
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Zahedi, M.Z. (author), Custers, Geert (author), Shahroodi, Taha (author), Gaydadjiev, G. (author), Wong, J.S.S.M. (author), Hamdioui, S. (author)
Performing analysis on large graph datasets in an energy-efficient manner has posed a significant challenge; not only due to excessive data movements and poor locality, but also due to the non-optimal use of high sparsity of such datasets. The latter leads to a waste of resources as the computation is also performed on zero's operands which do...
conference paper 2023
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Shahroodi, Taha (author), Cardoso, Rafaela (author), Zahedi, M.Z. (author), Wong, J.S.S.M. (author), Bosio, Alberto (author), O'Connor, Ian (author), Hamdioui, S. (author)
This paper investigates the potential of a compute-in-memory core based on optical Phase Change Materials (oPCMs) to speed up and reduce the energy consumption of the Matrix-Matrix-Multiplication operation. The paper also proposes a new data mapping for Binary Neural Networks (BNNs) tailored for our oPCM core. The preliminary results show a...
conference paper 2023
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Gao, Mingyu (author), Chakraborty, S.S. (author), Kulahcioglu Ozkan, Burcu (author)
The Probabilistic Concurrency Testing (PCT) algorithm that provides theoretical guarantees on the probability of detecting concurrency bugs does not apply to weak memory programs. The PCT algorithm builds on the interleaving semantics of sequential consistency, which does not hold for weak memory concurrency. It is because weak memory...
conference paper 2023
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Jovanova, J. (author), Var, S.C.S. (author)
Underwater robot tasks pose many challenges for conventional robotic systems. The current rigid robots are limited in their adaptability to the environment and the objects to be manipulated. Soft grasping of objects offers advantages due to the flexibility when dealing with, for example, living organisms, random shaped objects, and coral...
conference paper 2023
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Aziza, Hassen (author), Zambelli, Cristian (author), Hamdioui, S. (author), Diware, S.S. (author), Bishnoi, R.K. (author), Gebregiorgis, A.B. (author)
Emerging device technologies such as Resistive RAMs (RRAMs) are under investigation by many researchers and semiconductor companies; not only to realize e.g., embedded non-volatile memories, but also to enable energy-efficient computing making use of new data processing paradigms such as computation-in-memory. However, such devices suffer from...
conference paper 2023
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Li, Y. (author), Broz, F. (author), Neerincx, M.A. (author)
Assistive robots are expected to contribute to the solution of major societal problems in healthcare, such as the increasing number of elderly who need informal and professional care over a long period of time. Most of the research focuses on the development of humanlike robots to facilitate human-robot interaction and strengthen the social,...
conference paper 2023
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Gouicem, Redha (author), Sprokholt, D.G. (author), Ruehl, Jasper (author), Rocha, Rodrigo C.O. (author), Spink, Tom (author), Chakraborty, S.S. (author), Bhatotia, Pramod (author)
Dynamic Binary Translation (DBT) is a powerful approach to support cross-architecture emulation of unmodified binaries. However, DBT systems face correctness and performance challenges, when emulating concurrent binaries from strong to weak memory consistency architectures. As a matter of fact, we report several translation errors in QEMU,...
conference paper 2022
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Cardoso Medeiros, G. (author), Fieback, M. (author), Gebregiorgis, A.B. (author), Taouil, M. (author), Poehls, L. B. (author), Hamdioui, S. (author)
High-quality memory diagnosis methodologies are critical enablers for scaled memory devices as they reduce time to market and provide valuable information regarding test escapes and customer returns. This paper presents an efficient Hierarchical Memory Diagnosis (HMD) approach that accurately diagnoses faults in the entire memory. Faults are...
conference paper 2022
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Singh, A. (author), Fieback, M. (author), Bishnoi, R.K. (author), Bradarić, Filip (author), Gebregiorgis, A.B. (author), Joshi, R.V. (author), Hamdioui, S. (author)
Emerging non-volatile resistive RAM (RRAM) device technology has shown great potential to cultivate not only high-density memory storage, but also energy-efficient computing units. However, the unique challenges related to RRAM fabrication process render the traditional memory testing solutions inefficient and inadequate for high product quality...
conference paper 2022
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El Arrassi, A.E. (author), Gebregiorgis, A.B. (author), Haddadi, Anass El (author), Hamdioui, S. (author)
Spiking Neural Networks (SNNs) can drastically improve the energy efficiency of neuromorphic computing through network sparsity and event-driven execution. Thus, SNNs have the potential to support practical cognitive tasks on resource constrained platforms, such as edge devices. To realize this, SNN requires energy-efficient hardware which can...
conference paper 2022
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Ligthart, Mike E.U. (author), Neerincx, M.A. (author), Hindriks, K.V. (author)
After the novelty effect wears off children need a new motivator to keep interacting with a social robot. Enabling children to build a relationship with the robot is the key for facilitating a sustainable long-term interaction. We designed a memory-based personalization strategy that safeguards the continuity between sessions and tailors the...
conference paper 2022
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Fieback, M. (author), Münch, Christopher (author), Gebregiorgis, A.B. (author), Cardoso Medeiros, G. (author), Taouil, M. (author), Hamdioui, S. (author), Tahoori, Mehdi (author)
Emerging non-volatile resistive memories like Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM) and Resistive RAM (RRAM) are in the focus of today’s research. They offer promising alternative computing architectures such as computation-in-memory (CiM) to reduce the transfer overhead between CPU and memory, usually referred to as the...
conference paper 2022
Searched for: subject%3A%22memories%22
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