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Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach

#33 joapolarbear opened 3 years ago
1
Optimizing Large-scale Deep Learning by Minimizing Resource Contention for Data Processing

#32 joapolarbear opened 3 years ago
0
IEEE2018 | Benchmark Analysis of Representative Deep Neural Network Architectures

#31 joapolarbear opened 3 years ago
0
NIPS 2020 | Rethinking the Value of Labels for Improving Class-Imbalanced Learning

#30 joapolarbear opened 3 years ago
0
BEYOND DATA AND MODEL PARALLELISM FOR DEEP NEURAL NETWORKS

#29 joapolarbear opened 3 years ago
0
Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning

#28 joapolarbear opened 3 years ago
3
PLINK: DISCOVERING AND EXPLOITING DATACENTER NETWORK LOCALITY FOR EFFICIENT CLOUD-BASED DISTRIBUTED TRAINING

#27 joapolarbear opened 3 years ago
0
Blink: A fast NVLink-based collective communication library

#26 joapolarbear opened 3 years ago
0
Profiling Network Performance for Multi-Tier Data Center Applications

#25 joapolarbear opened 3 years ago
0
Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems

#24 joapolarbear opened 3 years ago
0
CrystalNet: Faithfully Emulating Large Production Networks

#23 joapolarbear opened 3 years ago
0
Kairos: Preemptive Data Center Scheduling Without Runtime Estimates

#22 joapolarbear opened 3 years ago
0
Gandiva: Introspective Cluster Scheduling for Deep Learning

#21 joapolarbear opened 3 years ago
0
A GPU Cluster Manager for Distributed Deep Learning

#20 joapolarbear opened 3 years ago
0
FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System

#19 joapolarbear opened 3 years ago
0
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

#18 joapolarbear opened 3 years ago
0
MIXED PRECISION TRAINING

#17 joapolarbear opened 3 years ago
0
HAQ: Hardware-Aware Automated Quantization with Mixed Precision

#16 joapolarbear opened 3 years ago
0
MIXED PRECISION TRAINING OF CONVOLUTIONAL NEURAL NETWORKS USING INTEGER OPERATIONS

#15 joapolarbear opened 3 years ago
0
Pipelined Mixed Precision Algorithms on FPGAs for Fast and Accurate PDE Solvers from Low Precision Components

#14 joapolarbear opened 3 years ago
0
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision

#13 joapolarbear opened 3 years ago
1
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

#12 joapolarbear opened 3 years ago
0
Mastering the game of Go without human knowledge (AlphaGo Zero)

#11 joapolarbear opened 4 years ago
0
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

#10 joapolarbear opened 4 years ago
0
KERNEL MACHINES THAT ADAPT TO GPUS FOR EFFECTIVE LARGE BATCH TRAINING

#9 joapolarbear opened 4 years ago
0
TASO: optimizing deep learning computation with automatic generation of graph substitutions

#8 joapolarbear opened 4 years ago
1
Daydream: Accurately Estimating the Efficacy of Performance Optimizations for DNN Training

#7 joapolarbear opened 4 years ago
0
OPTIMIZING DNN COMPUTATION WITH RELAXED GRAPH SUBSTITUTIONS

#6 joapolarbear opened 4 years ago
1
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inferenc

#5 joapolarbear opened 4 years ago
0
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

#4 joapolarbear opened 4 years ago
0
BEYOND DATA AND MODEL PARALLELISM FOR DEEP NEURAL NETWORKS

#3 joapolarbear opened 4 years ago
0
Straggler Detection in Parallel Computing Systems through Dynamic Threshold Calculation

#2 joapolarbear opened 4 years ago
0
Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning

#1 joapolarbear opened 4 years ago
0