Browsing by Author "Riera Villanueva, Marc"
Now showing items 1-13 of 13
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A detailed methodology to compute soft error rates in advanced technologies
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Restricted access - publisher's policySystem reliability has become a key design aspect for computer systems due to the aggressive technology miniaturization. Errors are typically dominated by transient faults due to radiation and are strongly related to the ... -
A survey of near-data processing architectures for neural networks
(2022-01-17)
Article
Open AccessData-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture. As data movement operations and energy consumption ... -
Analysis of SoftError Rates for future technologies
(Universitat Politècnica de Catalunya, 2015-07)
Master thesis
Open AccessLa fiabilitat s'ha convertit en un aspecte important del disseny de sistemes informàtics a causa de la miniaturització de la tecnologia. En aquest projecte s'analitza la fiabilitat de les tecnologies actuals i futures ... -
CGPA: Coarse-Grained Pruning of Activations for Energy-Efficient RNN Inference
(2019-09-01)
Article
Open AccessRecurrent neural networks (RNNs) perform element-wise multiplications across the activations of gates. We show that a significant percentage of activations are saturated and propose coarse-grained pruning of activations ... -
Computation reuse in DNNs by exploiting input similarity
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Restricted access - publisher's policyIn recent years, Deep Neural Networks (DNNs) have achieved tremendous success for diverse problems such as classification and decision making. Efficient support for DNNs on CPUs, GPUs and accelerators has become a prolific ... -
CREW: Computation reuse and efficient weight storage for hardware-accelerated MLPs and RNNs
(2022-08-01)
Article
Open AccessDeep Neural Networks (DNNs) have achieved tremendous success for cognitive applications. The core operation in a DNN is the dot product between quantized inputs and weights. Prior works exploit the weight/input repetition ... -
Cross-layer system reliability assessment framework for hardware faults
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Open AccessSystem reliability estimation during early design phases facilitates informed decisions for the integration of effective protection mechanisms against different classes of hardware faults. When not all system abstraction ... -
Disseny i Implementació d'una jerarquia de memòria en un processador MIPS
(Universitat Politècnica de Catalunya, 2013-06-18)
Bachelor thesis
Open Access[CATALÀ] Primer s'explicarà breument l'arquitectura d'un MIPS, la jerarquia de memòria i el funcionament de la cache. Posteriorment s'explicarà com s'ha dissenyat i implementat una jerarquia de memòria per a un MIPS ... -
DNA-TEQ: an adaptive exponential quantization of tensors for DNN inference
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessQuantization is commonly used in Deep Neural Networks (DNNs) to reduce the storage and computational complexity by decreasing the arithmetical precision of activations and weights, a.k.a. tensors. Efficient hardware ... -
DNN pruning with principal component analysis and connection importance estimation
(2022-01)
Article
Open AccessDNN pruning reduces memory footprint and computational work of DNN-based solutions to improve performance and energy-efficiency. An effective pruning scheme should be able to systematically remove connections and/or neurons ... -
QeiHaN: An energy-efficient DNN accelerator that leverages log quantization in NDP architectures
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference lecture
Open AccessThe constant growth of DNNs makes them challenging to implement and run efficiently on traditional computecentric architectures. Some works have attempted to enhance accelerators by adding more compute units and on-chip ... -
SyRA: early system reliability analysis for cross-layer soft errors resilience in memory arrays of microprocessor systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018-01-01)
Article
Open AccessCross-layer reliability is becoming the preferred solution when reliability is a concern in the design of a microprocessor-based system. Nevertheless, deciding how to distribute the error management across the different ... -
The dark side of DNN pruning
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Restricted access - publisher's policyDNN pruning has been recently proposed as an effective technique to improve the energy-efficiency of DNN-based solutions. It is claimed that by removing unimportant or redundant connections, the pruned DNN delivers higher ...
