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08/25/2023
An Intermediate Representation for Composable Typed Streaming Dataflow Designs
Tydi is an open specification for streaming dataflow designs in digital ...
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04/23/2023
Learning-enabled multi-modal motion prediction in urban environments
Motion prediction is a key factor towards the full deployment of autonom...
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01/23/2023
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
Sequence alignment forms an important backbone in many sequencing applic...
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12/22/2022
A Toolchain for Streaming Dataflow Accelerator Designs for Big Data Analytics: Defining an IR for Composable Typed Streaming Dataflow Designs
Tydi is an open specification for streaming dataflow designs in digital ...
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12/12/2022
Tydi-lang: a language for typed streaming hardware – A manual for future Tydi-lang compiler developers
Transferring composite data structures with variable-length fields often...
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12/12/2022
Tydi-lang: A Language for Typed Streaming Hardware
Transferring composite data structures with variable-length fields often...
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04/27/2022
Memory-Disaggregated In-Memory Object Store Framework for Big Data Applications
The concept of memory disaggregation has recently been gaining traction ...
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04/06/2022
Benchmarking Apache Arrow Flight – A wire-speed protocol for data transfer, querying and microservices
Moving structured data between different big data frameworks and/or data...
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12/07/2021
QKSA: Quantum Knowledge Seeking Agent – resource-optimized reinforcement learning using quantum process tomography
In this research, we extend the universal reinforcement learning (URL) a...
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10/28/2021
DFL: High-Performance Blockchain-Based Federated Learning
Many researchers are trying to replace the aggregation server in federat...
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08/18/2021
An Attention Module for Convolutional Neural Networks
Attention mechanism has been regarded as an advanced technique to captur...
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04/30/2021
GPU Acceleration of 3D Agent-Based Biological Simulations
Researchers in biology are faced with the tough challenge of developing ...
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01/01/2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning
With the increasing number of data collectors such as smartphones, immen...
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10/14/2020
Privacy-Preserving Object Detection Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Distributed machine learning is becoming a popular model-training method...
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09/11/2020
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks
Binary Convolutional Neural Networks (BCNNs) can significantly improve t...
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08/08/2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Binary Convolutional Neural Networks (CNNs) have significantly reduced t...
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06/11/2020
BioDynaMo: an agent-based simulation platform for scalable computational biology research
Computer simulation is an indispensable tool for studying complex biolog...
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06/01/2020
Quantum Accelerated Estimation of Algorithmic Information
In this research we present a quantum circuit for estimating algorithmic...
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06/01/2020
Real-Time Face and Landmark Localization for Eyeblink Detection
Pavlovian eyeblink conditioning is a powerful experiment used in the fie...
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04/01/2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
With the increased attention and legislation for data-privacy, collabora...
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12/05/2016