Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers
the datacenter as a computer : an introduction to the design of warehouse - scale machines .
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems
DyNet: The Dynamic Neural Network Toolkit
Privado: Practical and Secure DNN Inference
Survey of scaling platforms for Deep Neural Networks
X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data
Dynamic Network Surgery for Efficient DNNs
Direct Neural-Network Hardware-Implementation Algorithm
Neural Network based Performance Tuning in Distributed Database Environment
On Scale-out Deep Learning Training for Cloud and HPC
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms
Deep Learning at Scale and at Ease
Accelerator-centric deep learning systems for enhanced scalability, energy-efficiency, and programmability
Distributed parallel data storage systems: a scalable approach to high speed image servers
Complexity vs. performance: empirical analysis of machine learning as a service
Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining
Representational similarity encoding for fMRI: Pattern-based synthesis to predict brain activity using stimulus-model-similarities.
Open-Set Classification for Automated Genre Identification
application of pretrained deep neural networks to large vocabulary speech recognition .
Learned in Translation: Contextualized Word Vectors
A Multiplatform Study of I/O Behavior on Petascale Supercomputers