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Concept

AI accelerator

Related courses (6)

CS-471: Advanced multiprocessor architecture

Multiprocessors are basic building blocks for all computer systems. This course covers the architecture and organization of modern multiprocessors, prevalent accelerators (e.g., GPU, TPU), and datacenters. It includes a research project on multiprocessors ...

CS-470: Advanced computer architecture

This course explores techniques for exploiting instruction-level parallelism both statically and dynamically. It also addresses the generation of hardware accelerators from programming languages and investigates security issues related to microarchitectura ...

CS-476: Embedded system design

Hardware-software co-design is a well known concept in embedded system design.It is also a concept required in designing FPGA-accelerators in data-centers.This course teaches how to transform algorithms in smart hardware-software solutions. ...

PHYS-751: Advanced concepts in particle accelerators

Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and challenges of the possible paths towards the nex ...

EE-390(a): Lab on hardware-software digital systems codesign

This course explores hardware-software co-design techniques to develop heterogeneous multi-core embedded systems running Linux on FPGAs. The course explores high-level synthesis tools (HLS) to design hardware accelerators that reduce total execution time a ...

PHYS-743: Parallel programming

Learn the concepts, tools and API's that are needed to debug, test, optimize and parallelize a scientific application on a cluster from an existing code or from scratch. Both OpenMP (shared memory) and MPI (distributed memory) paradigms are presented and ...