Multi-core processor

Applied sciences
Computer engineering
High-performance computing
Parallel computing

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Related lectures (32)

Cache Coherence: Basics and Protocols

Explores cache coherence challenges, protocols, and directory-based solutions in multi-core systems.

Parallel Computing: Principles and OpenMP

Covers the principles of parallel computing and introduces OpenMP for creating concurrent code from serial code.

Actors: Evolution and Implementation

Covers the evolution of Actors, challenges of modern CPUs, parallel programming risks, and synchronization tools in Scala.

Neuromorphic Computing: Challenges & Future

Compares digital and neuromorphic computing, highlighting challenges and future prospects in the field.

Compare Apple Watch vs Huawei Watch

Compares the hardware and sensing functionality of Apple Watch Series 2 and Huawei Watch 2.

Interconnects: Networks-on-Chip

Covers cache partitioning, Vantage scheme, interconnects, and Networks-on-Chip in many-core systems.

Input/Output and Interrupts: Connecting Peripherals and Handling Interrupts

Covers connecting peripherals, handling interrupts, and setting priority levels effectively.

Exceptions: Handling and Types

Explores exceptions in computer systems, covering their types, classification, handling, and design challenges.

Scheduling Internals: Metrics and Policies

Discusses scheduling internals, metrics, and policies in computer systems, emphasizing efficiency and the complexities of modern multi-core architectures.

Performance: Hardware and Software Optimization

Explores the evolution of performance metrics in computing, emphasizing the impact of hardware and software optimization.

Pipelining

Explores pipelining in processors, covering stages, hazards, and solutions for efficient execution.

Concurrency and Parallelism: Queue

Explores thread safety, synchronization, and concurrent collections in Scala, focusing on a lock-free concurrent queue implementation.

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