A5102854276- Cloud Computing and Resource Management
- Advanced Data Storage Technologies
- Neural dynamics and brain function
- Parallel Computing and Optimization Techniques
- Neuroscience and Neuropharmacology Research
- Distributed and Parallel Computing Systems
- Advanced Electron Microscopy Techniques and Applications
- Neurobiology and Insect Physiology Research
- Software System Performance and Reliability
- Scientific Computing and Data Management
- Cell Image Analysis Techniques
- Photoreceptor and optogenetics research
- Erythropoietin and Anemia Treatment
- IoT and Edge/Fog Computing
- Cardiac Ischemia and Reperfusion
- Bioinformatics and Genomic Networks
- Graph Theory and Algorithms
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced Fluorescence Microscopy Techniques
- Web Data Mining and Analysis
- Anesthesia and Pain Management
- Big Data Technologies and Applications
- Natural Language Processing Techniques
- Nausea and vomiting management
- Embedded Systems Design Techniques
Princeton University
2017-2025
Neuroscience Institute
2021-2024
State Grid Corporation of China (China)
2019-2024
Amazon (United States)
2023-2024
Tianjin Medical University General Hospital
2017-2023
Laboratoire d'Informatique de Paris-Nord
2021-2023
Emilio Aguinaldo College
2022
Guilin University of Technology
2022
Institute of Computing Technology
2011-2017
Chinese Academy of Sciences
2011-2017
As architecture, systems, and data management communities pay greater attention to innovative big systems architectures, the pressure of benchmarking evaluating these rises. Considering broad use benchmarks must include diversity workloads. Most state-of-the-art efforts target specific types applications or system software stacks, hence they are not qualified for serving purposes mentioned above. This paper presents our joint research on this issue with several industrial partners. Our...
Abstract Connections between neurons can be mapped by acquiring and analyzing electron microscopic (EM) brain images. In recent years, this approach has been applied to chunks of brains reconstruct local connectivity maps that are highly informative, yet inadequate for understanding function more globally. Here, we present the first neuronal wiring diagram a whole adult brain, containing 5×10 7 chemical synapses ∼130,000 reconstructed from female Drosophila melanogaster . The resource also...
Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties. Synaptic connectivity powerfully shapes how type participates in the cortical circuit, but mapping rules at resolution distinct types remains difficult. Here, we used millimeter-scale volumetric electron microscopy 1 to investigate all inhibitory neurons across densely-segmented population 1352 cells spanning layers mouse visual cortex, producing wiring...
Abstract Understanding the brain requires understanding neurons’ functional responses to circuit architecture shaping them. Here we introduce MICrONS connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher areas (VISrl, VISal VISlm) an awake mouse that is viewing natural synthetic stimuli. These data are co-registered electron microscopy reconstruction containing more than 200,000 cells 0.5 billion synapses. Proofreading a subset...
Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties1. Synaptic connectivity shapes how type participates in the cortical circuit, but mapping rules at resolution distinct types remains difficult. Here we used millimetre-scale volumetric electron microscopy2 to investigate all inhibitory neurons across densely segmented population 1,352 cells spanning layers mouse visual cortex, producing wiring diagram...
Abstract Mammalian neocortex contains a highly diverse set of cell types. These types have been mapped systematically using variety molecular, electrophysiological and morphological approaches 1–4 . Each modality offers new perspectives on the variation biological processes underlying cell-type specialization. Cellular-scale electron microscopy provides dense ultrastructural examination an unbiased perspective subcellular organization brain cells, including their synaptic connectivity...
Abstract Understanding the relationship between circuit connectivity and function is crucial for uncovering how brain computes. In mouse primary visual cortex, excitatory neurons with similar response properties are more likely to be synaptically connected 1–8 ; however, broader rules remain unknown. Here we leverage millimetre-scale MICrONS dataset analyse synaptic functional of across cortical layers areas. Our results reveal that preferentially within areas—including feedback...
As the amount of data explodes rapidly, more and corporations are using centers to make effective decisions gain a competitive edge. Data analysis applications play significant role in centers, hence it has became increasingly important understand their behaviors order further improve performance center computer systems. In this paper, after investigating three most application domains terms page views daily visitors, we choose eleven representative workloads characterize micro-architectural...
Understanding the relationship between circuit connectivity and function is crucial for uncovering how brain implements computation. In mouse primary visual cortex (V1), excitatory neurons with similar response properties are more likely to be synaptically connected, but previous studies have been limited within V1, leaving much unknown about broader rules. this study, we leverage millimeter-scale MICrONS dataset analyze synaptic functional of individual across cortical layers areas. Our...
Abstract The reconstruction of neural circuits from serial section electron microscopy (ssEM) images is being accelerated by automatic image segmentation methods. Segmentation accuracy often limited the preceding step aligning 2D to create a 3D stack. Precise and robust alignment in presence artifacts challenging, especially as datasets are attaining petascale. We present computational pipeline for ssEM with several key elements. Self-supervised convolutional nets trained via metric learning...
Neurons in the neocortex exhibit astonishing morphological diversity, which is critical for properly wiring neural circuits and giving neurons their functional properties. However, organizational principles underlying this diversity remain an open question. Here, we took a data-driven approach using graph-based machine learning methods to obtain low-dimensional "bar code" describing more than 30,000 excitatory mouse visual areas V1, AL, RL that were reconstructed from millimeter scale...
Big data benchmark suites must include a diversity of and workloads to be useful in fairly evaluating big systems architectures. However, using truly comprehensive benchmarks poses great challenges for the architecture community. First, we need thoroughly understand behaviors variety workloads. Second, our usual simulation-based research methods become prohibitively expensive data. As is an emerging field, more software stacks are being proposed facilitate development applications, which...
Sparse Matrix-vector Multiplication (SpMV) is an important computation kernel widely used in HPC and data centers. The irregularity of SpMV a well-known challenge that limits SpMV's parallelism with vectorization operations. Existing work achieves limited locality efficiency large preprocessing overheads. To address this issue, we present the Compressed Vectorization-oriented sparse Row (CVR), novel representation targeting efficient vectorization. CVR simultaneously processes multiple rows...
Abstract To understand the brain we must relate neurons’ functional responses to circuit architecture that shapes them. Here, present a large connectomics dataset with dense calcium imaging of millimeter scale volume. We recorded activity from approximately 75,000 neurons in primary visual cortex (VISp) and three higher areas (VISrl, VISal VISlm) an awake mouse viewing natural movies synthetic stimuli. The data were co-registered volumetric electron microscopy (EM) reconstruction containing...
Abstract 3D electron microscopy (EM) has been successful at mapping invertebrate nervous systems, but the approach limited to small chunks of mammalian brains. To scale up larger volumes, we have built a computational pipeline for processing petascale image datasets acquired by serial section EM, popular form EM. The employs convolutional nets compute nonsmooth transformations required align images sections containing numerous cracks and folds, detect neuronal boundaries, label voxels as...
Large deep learning models have recently garnered substantial attention from both academia and industry. Nonetheless, frequent failures are observed during large model training due to large-scale resources involved extended time. Existing solutions significant failure recovery costs the severe restriction imposed by bandwidth of remote storage in which they store checkpoints.
The increasing demands of big data applications have led researchers and practitioners to turn in-memory computing speed processing. For instance, the Apache Spark framework stores intermediate results in memory deliver good performance on iterative machine learning interactive analysis tasks. To best our knowledge, though, little work has been done understand Spark's architectural microarchitectural behaviors. Furthermore, although conventional commodity processors well optimized for...
ABSTRACT Due to advances in automated image acquisition and analysis, new whole-brain connectomes beyond C. elegans are finally on the horizon. Proofreading of reconstructions will require many person-years effort, due huge volumes data involved. Here we present FlyWire, an online community for proofreading neural circuits a fly brain, explain how its computational social structures organized scale up connectomics. Browser-based 3D interactive segmentation by collaborative editing spatially...
Incorporation of transversus abdominis plane (TAP) block into multimodal analgesia has been emphasized in Enhanced Recovery protocols (ERPs). However, benefit is limited clinical practice. A potential explanation the short duration standard local anesthetics. Herein, this randomized, double-blind, controlled trial evaluated whether TAPB with long-acting compound lidocaine hydrochloride injection reduces postoperative pain.164 patients undergoing elective gynecological laparotomy under...
This paper presents our joint research efforts on big data benchmarking with several industrial partners. Considering the complexity, diversity, workload churns, and rapid evolution of systems, we take an incremental approach in benchmarking. For first step, pay attention to search engines, which are most important domain Internet services terms number page views daily visitors. However, engine service providers treat data, applications, web access logs as business confidentiality, prevents...