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09/07/2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
The fast growth of computational power and scales of modern super-comput...
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08/09/2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
GPU-aware collective communication has become a major bottleneck for mod...
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05/17/2023
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques
In the exascale computing era, optimizing MPI collective performance in ...
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05/03/2023
FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs
General matrix/matrix multiplication (GEMM) is crucial for scientific co...
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05/01/2023
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs
General Matrix Multiplication (GEMM) is a crucial algorithm for various ...
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04/08/2023
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives
With the ever-increasing computing power of supercomputers and the growi...
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01/09/2023
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
One-sided dense matrix decompositions (e.g., Cholesky, LU, and QR) are t...
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10/06/2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Transformer is the cornerstone model of Natural Language Processing (NLP...
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01/13/2022
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the proble...
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12/29/2021
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation
This paper present a strong data mining method based on rough set, which...
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11/04/2021
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Today's scientific simulations require a significant reduction of data v...
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09/29/2021
Accelerating Encrypted Computing on Intel GPUs
Homomorphic Encryption (HE) is an emerging encryption scheme that allows...
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05/25/2021
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Error-bounded lossy compression is becoming an indispensable technique f...
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04/02/2021
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
Basic Linear Algebra Subprograms (BLAS) is a core library in scientific ...
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02/27/2021
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models
Soft error, namely silent corruption of signal or datum in a computer sy...
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01/08/2021
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Efficient error-controlled lossy compressors are becoming critical to th...
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10/07/2020
SDC Resilient Error-bounded Lossy Compressor
Lossy compression is one of the most important strategies to resolve the...
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05/02/2020
Ball k-means
This paper presents a novel accelerated exact k-means algorithm called t...
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03/27/2020
Algorithm-Based Fault Tolerance for Convolutional Neural Networks
Convolutional neural networks (CNNs) are becoming more and more importan...
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01/22/2020
Normalization of Input-output Shared Embeddings in Text Generation Models
Neural Network based models have been state-of-the-art models for variou...
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06/23/2018
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP
With ever-increasing volumes of scientific data produced by HPC applicat...
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05/17/2018
Fixed-PSNR Lossy Compression for Scientific Data
Error-controlled lossy compression has been studied for years because of...
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04/30/2018
Improving Performance of Iterative Methods by Lossy Checkponting
Iterative methods are commonly used approaches to solve large, sparse li...
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12/19/2017
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere
Variations in High Performance Computing (HPC) system software configura...
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11/10/2017
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations
In situ lossy compression allowing user-controlled data loss can signifi...
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06/12/2017