Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Towards Heterogeneous Multi-Core Systems-On-Chip for Edge Machine Learning: Journey from Single-Core Acceleration to Multi-Core Heterogeneous Systems

Towards Heterogeneous Multi-Core Systems-On-Chip for Edge Machine Learning: Journey from Single-Core Acceleration to Multi-Core Heterogeneous Systems

Verhelst, Marian
Jain, Vikram

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 3031382293
ISBN13: 9783031382291
Publisher: Springer Nature
Published: Sep 17 2023
Pages: 186
Weight: 1.05
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.

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