Xiaochen Guo
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View article: Incorporating Animation Films into Moral Education for College Students: A Case Study of the Chinese Animated Film Three Monks
Incorporating Animation Films into Moral Education for College Students: A Case Study of the Chinese Animated Film Three Monks Open
This study aims to explore the values of character education in the Chinese animated film Three Monks. This film serves as a teaching tool, not only imparting animation principles to university students majoring in animation but also showc…
View article: Enhanced securities investment strategy using ISSA–SVM: a hybrid model combining adaptive moving average, support vector machine, and multi-strategy sparrow search algorithm for improved trend tracking and risk adjustment
Enhanced securities investment strategy using ISSA–SVM: a hybrid model combining adaptive moving average, support vector machine, and multi-strategy sparrow search algorithm for improved trend tracking and risk adjustment Open
Commodity Trading Advisor (CTA) strategies traditionally rely on fixed technical indicators for trend tracking, which often yield significant errors in volatile markets. This study proposes a novel hybrid strategy, ISSA–SVM, that combines …
View article: AMC: Access to Miss Correlation Prefetcher for Evolving Graph Analytics
AMC: Access to Miss Correlation Prefetcher for Evolving Graph Analytics Open
Modern memory hierarchies work well with applications that have good spatial locality. Evolving (dynamic) graphs are important applications widely used to model graphs and networks with edge and vertex changes. They exhibit irregular memor…
View article: Design space exploration for balanced MLC-PCM programming
Design space exploration for balanced MLC-PCM programming Open
Multi-Level Cell Phase Change Memory (MLC PCM) is a non-volatile memory technology that promises high-density data storage. However, MLC PCM suffers from long write latency because changing the state of each memory cell takes a long time a…
View article: Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks
Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks Open
Recurrent spiking neural network (RSNN) is a frequently studied model to understand biological neural networks, as well as to develop energy efficient neuromorphic systems. Deep learning optimization approach, such as backpropogation throu…
View article: ASA: <u>A</u> ccelerating <u>S</u> parse <u>A</u> ccumulation in Column-wise SpGEMM
ASA: A ccelerating S parse A ccumulation in Column-wise SpGEMM Open
Sparse linear algebra is an important kernel in many different applications. Among various sparse general matrix-matrix multiplication (SpGEMM) algorithms, Gustavson’s column-wise SpGEMM has good locality when reading input matrix and can …
View article: Temporal Learning with Biologically Fitted SNN Models
Temporal Learning with Biologically Fitted SNN Models Open
Spiking Neural Networks (SNN) can model biological neural networks with different levels of details. There are trade-offs between model fidelity and computation efficiency. Which model is the most appropriate one to use depends on the goal…
View article: An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices Open
In this paper, we develop an in-memory analog computing (IMAC) architecture realizing both synaptic behavior and activation functions within non-volatile memory arrays. Spin-orbit torque magnetoresistive random-access memory (SOT-MRAM) dev…
View article: Understanding the Impact of Neural Variations and Random Connections on Inference
Understanding the Impact of Neural Variations and Random Connections on Inference Open
Recent research suggests that in vitro neural networks created from dissociated neurons may be used for computing and performing machine learning tasks. To develop a better artificial intelligent system, a hybrid bio-silicon computer is wo…
View article: DOVA PRO: A Dynamic Overwriting Voltage Adjustment Technique for STT-MRAM L1 Cache Considering Dielectric Breakdown Effect
DOVA PRO: A Dynamic Overwriting Voltage Adjustment Technique for STT-MRAM L1 Cache Considering Dielectric Breakdown Effect Open
International audience
View article: SPX64
SPX64 Open
General-purpose computing systems employ memory hierarchies to provide the appearance of a single large, fast, coherent memory. In special-purpose CPUs, programmers manually manage distinct, non-coherent scratchpad memories. In this articl…
View article: DOVA: A Dynamic Overwriting Voltage Adjustment for STT-RAM L1 Cache
DOVA: A Dynamic Overwriting Voltage Adjustment for STT-RAM L1 Cache Open
International audience
View article: ClusCross
ClusCross Open
The increasing number of cores challenges the scalability of chip multiprocessors. Recent studies proposed the idea of disintegration by partitioning a large chip into multiple smaller chips and using silicon interposer-based integration (…
View article: Inference with Hybrid Bio-hardware Neural Networks
Inference with Hybrid Bio-hardware Neural Networks Open
To understand the learning process in brains, biologically plausible algorithms have been explored by modeling the detailed neuron properties and dynamics. On the other hand, simplified multi-layer models of neural networks have shown grea…
View article: A Supervised STDP-based Training Algorithm for Living Neural Networks
A Supervised STDP-based Training Algorithm for Living Neural Networks Open
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection. Neural network models are inspired by biological neural networks, but they are optimized t…
View article: Languages Must Expose Memory Heterogeneity
Languages Must Expose Memory Heterogeneity Open
The last decade has seen an explosion in new and innovative memory technologies. While certain technologies, like transactional memory, have seen adoption at the language level, others, such as sandboxed memory, scratchpad memory, and pers…
View article: Large Eddy Simulation on Flow Structure in a Dissipative Ladle Shroud and a Tundish
Large Eddy Simulation on Flow Structure in a Dissipative Ladle Shroud and a Tundish Open
Flow structures were investigated in a dissipative ladle shroud (DLS) and a tundish using Large Eddy Simulation. The numerical results were validated inside the DLS and the tundish with PIV experiments. Velocity distribution, vorticity isl…