Category: Books

AI for Computer ArchitecturePrinciples, Practice, and Prospects

AI for Computer Architecture. Principles, Practice, and Prospects Lizhong Chen, Oregon State UniversityDrew Penney, Oregon State UniversityDaniel Jiménez, Texas A&M University Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture...

Deep Learning , Compilers, and Processors for Large-Scale Production

The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are...

Data Orchestration in Deep Learning Accelerators

Morgan & Claypool  BUY THIS BOOK Check if you have access via Synthesis Digital Library Tushar Krishna, Georgia Institute of TechnologyHyoukjun Kwon, Georgia Institute of TechnologyAngshuman Parashar, NVIDIAMichael Pellauer, NVIDIAAnanda Samajdar, Georgia Institute of Technology Modern DNNs have...

I Heart Logs: Event Data, Stream Processing, and Data Integration

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