Springer Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)

Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture)

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks

Chapman and Hall/CRC

From CNN to DNN Hardware Accelerators: A Survey on Design, Exploration, Simulation, and Frameworks (Foundations and Trends® in Electronic Design Automation)

Artificial Intelligence Hardware Design: Challenges and Solutions

Wiley-IEEE Press

Deep Learning for Computer Architects (Synthesis Lectures on Computer Architecture)

Springer

Thinking Machines: Machine Learning and Its Hardware Implementation

Academic Press

Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production (Synthesis Lectures on Computer Architecture)

Springer

Artificial Intelligence Applications and Reconfigurable Architectures

Compact and Fast Machine Learning Accelerator for IoT Devices (Computer Architecture and Design Methodologies)

Springer

Neural Information Processing and VLSI: 304 (The Springer International Series in Engineering and Computer Science, 304)

Springer

Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing

Springer

AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch

O'Reilly

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

Dynamic Reconfigurable Network-on-Chip Design: Innovations for Computational Processing and Communication (Premier Reference Source)

Information Science Reference

Computer Architecture: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design)

Morgan Kaufmann

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

O'Reilly

Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)

Springer

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design (IEEE Press)

Wiley-IEEE Press

Scalable and Distributed Machine Learning and Deep Learning Patterns (Advances in Computational Intelligence and Robotics)

VLSI-SoC: Advanced Topics on Systems on a Chip: A Selection of Extended Versions of the Best Papers of the Fourteenth International Conference on Very ... and Communication Technology, 291)

Springer

Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations: 4 (Systems)

Wiley

High Performance Computing for Big Data: Methodologies and Applications (Chapman & Hall/CRC Big Data Series)

CRC Press

Understanding Computer Organization: A Guide to Principles Across RISC-V, ARM Cortex, and Intel Architectures (Undergraduate Topics in Computer Science)

Springer