Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Emmanuel Amaro
Affiliation
University of California, Berkeley
Topic
Application Programming Interface,Benchmark,Cloud Computing,Cluster Nodes,Input Tokens,Large Clusters,Median Latency,Multi-core,Priority Queue,Processing Unit,Public Cloud,Scalable,Server Node,Simulated Networks,Simulation Platform,Simulation Software,Switching Model,Template Design,95th Percentile,AlexNet,Amazon EC2,Changes In Microarchitecture,Classical Learning Algorithms,Classification Algorithms,Cloud Providers,Compile Time,Convolutional Layers,Convolutional Neural Network,Core System,Deep Learning,Deep Network,Deep Neural Network,Deep Neural Network Layers,Deep Neural Network Model,Design Cycle,Design Space Exploration,Development Cycle,Gradient Descent,Handwritten Digit Recognition,Heuristic Algorithm,Heuristic Search Algorithm,High Performance,High-level Synthesis,Individual Nodes,Input Vector,Instruction Set Architecture,Introspection,L2 Cache,Learning Algorithms,Learning Task,
Biography
Emmanuel Amaro is currently a PhD student in computer science at the University of California, Berkeley. His research interests include systems and computer architecture with a focus in computer disaggregation. Contact him at [email protected].