Search Results - "Jiannan Tian"
-
1
GPU-Accelerated Error-Bounded Lossy Compression for Scientific Data Toward Exascale Computing
Published 01-01-2024“…Today’s scientific exploration is driven by large-scale simulations and advanced instruments, generating vast amounts of data. As we advance into the era of…”
Get full text
Dissertation -
2
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations
Published in IEEE transactions on parallel and distributed systems (01-03-2024)“…Today's scientific simulations require significant data volume reduction because of the enormous amounts of data produced and the limited I/O bandwidth and…”
Get full text
Journal Article -
3
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Published in IEEE transactions on big data (01-04-2023)“…Today's scientific simulations require a significant reduction of data volume because of extremely large amounts of data they produce and the limited I/O…”
Get full text
Journal Article -
4
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling
Published in 2022 IEEE 38th International Conference on Data Engineering (ICDE) (01-05-2022)“…Error-bounded lossy compression is one of the most effective techniques for reducing scientific data sizes. However, the traditional trial-and-error approach…”
Get full text
Conference Proceeding -
5
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
Published in 2021 IEEE International Conference on Cluster Computing (CLUSTER) (01-09-2021)“…Error-bounded lossy compression is a critical technique for significantly reducing scientific data volumes. With ever-emerging heterogeneous high-performance…”
Get full text
Conference Proceeding -
6
Real-time Monitoring Technology of Voltage Sag Disturbance in Distribution Network Based on TCN-Attention Neural Network and Flink Flow Computing
Published in Distributed generation and alternative energy journal (12-07-2023)“…In the face of the challenges brought by the complexity of power grid, diversification of disturbance factors, isolation of monitoring points and other issues…”
Get full text
Journal Article -
7
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing
Published in Future generation computer systems (01-02-2025)“…The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the same time lossy compression for scientific data became an important topic for the…”
Get full text
Journal Article -
8
RSSI localization algorithm based on RBF neural network
Published in 2012 IEEE International Conference on Computer Science and Automation Engineering (01-06-2012)“…This paper proposes a algorithm method of RBF neural network based on RSSI localization algorithm. It solves the question which through traditional filter…”
Get full text
Conference Proceeding -
9
Efficient Error-Bounded Lossy Compression for CPU Architectures
Published in 2022 30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (01-10-2022)“…Modern HPC applications produce increasingly large amounts of data, which limits the performance of current extreme-scale systems. Lossy compression, helps to…”
Get full text
Conference Proceeding -
10
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Published in IEEE transactions on big data (23-08-2022)“…Today's scientific simulations require a significant reduction of data volume because of extremely large amounts of data they produce and the limited I/O…”
Get full text
Journal Article -
11
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures
Published in 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (01-05-2021)“…Today's high-performance computing (HPC) applications are producing vast volumes of data, which are challenging to store and transfer efficiently during the…”
Get full text
Conference Proceeding -
12
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
Published in 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL) (01-08-2022)“…Graph Neural Networks (GNNs) have drawn tremendous attention due to their unique capability to extend Machine Learning (ML) approaches to applications…”
Get full text
Conference Proceeding -
13
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data
Published 15-12-2023“…While both the database and high-performance computing (HPC) communities utilize lossless compression methods to minimize floating-point data size, a…”
Get full text
Journal Article -
14
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations
Published 05-12-2023“…Today's scientific simulations require significant data volume reduction because of the enormous amounts of data produced and the limited I/O bandwidth and…”
Get full text
Journal Article -
15
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework
Published 29-09-2023“…Today's scientific simulations generate exceptionally large volumes of data, challenging the capacities of available I/O bandwidth and storage space. This…”
Get full text
Journal Article -
16
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
Published 02-05-2023“…Today's graphics processing unit (GPU) applications produce vast volumes of data, which are challenging to store and transfer efficiently. Thus, data…”
Get full text
Journal Article -
17
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs
Published in 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (01-05-2022)“…More and more HPC applications require fast and effective compression techniques to handle large volumes of data in storage and transmission. Not only do these…”
Get full text
Conference Proceeding -
18
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs
Published in 2020 IEEE International Conference on Big Data (Big Data) (10-12-2020)“…Error-bounded lossy compression is becoming more and more important to today's extreme-scale HPC applications because of the ever-increasing volume of data…”
Get full text
Conference Proceeding -
19
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
Published 05-07-2024“…Multi-resolution methods such as Adaptive Mesh Refinement (AMR) can enhance storage efficiency for HPC applications generating vast volumes of data. However,…”
Get full text
Journal Article -
20
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
Published 05-07-2024“…DLRM is a state-of-the-art recommendation system model that has gained widespread adoption across various industry applications. The large size of DLRM models,…”
Get full text
Journal Article