Lecture

Multi Masters Systems

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In course

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. ...

Description

This lecture covers the concept of Multi Masters Systems, focusing on architectures with multiple processors and shared memory. It discusses the communication between masters, the need for mutual exclusion primitives, and the use of hardware accelerators like DMA units. The lecture also delves into the design flow of hardware accelerators, memory mapping for multiprocessors, and the importance of cache coherency in multiprocessor systems.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

Ties Jan Henderikus Kluter

Since January 2011: Teaching digital systems at the Swiss Federal Institute of Technology, Lausanne Switzerland Since August 2009: Teaching responsible for digital systems at the university of applied science of Bern, Bienne Switzerland 2003-2010: Ph.D. candidate at the Swiss Federal Institute of Technology, Lausanne Switzerland 2002-2003: Product development team leader in the infotainment group of Agere Systems, Nieuwegein The Netherlands. 1997-2003: Design Engineer in the design services group of Dedris Embedded Algorithms/Frontier Design BV./Adelante Technologies, Tiel The Netherlands 1996-1997: Assistant R&D at the faculty of computer controlled systems and computer techniques University of Twente, Enschede The Netherlands 1992-1996: MSc. education at the Technical University of Twente, Enschede The Netherlands 1988-1992: Bc. edudation at the Higher Technical School of Groningen, Groningen The Netherlands

Official source

Ontological neighbourhood

Computer engineering

High-performance computing: Parallel computing

Computer architecture: Topics in computer architecture

Related concepts (32)

Cache (computing)

In computing, a cache (kæʃ ) is a hardware or software component that stores data so that future requests for that data can be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower data store; thus, the more requests that can be served from the cache, the faster the system performs.

Multiprocessing

Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system. The term also refers to the ability of a system to support more than one processor or the ability to allocate tasks between them. There are many variations on this basic theme, and the definition of multiprocessing can vary with context, mostly as a function of how CPUs are defined (multiple cores on one die, multiple dies in one package, multiple packages in one system unit, etc.).

Symmetric multiprocessing

Symmetric multiprocessing or shared-memory multiprocessing (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all processors equally, reserving none for special purposes. Most multiprocessor systems today use an SMP architecture.

CPU cache

A CPU cache is a hardware cache used by the central processing unit (CPU) of a computer to reduce the average cost (time or energy) to access data from the main memory. A cache is a smaller, faster memory, located closer to a processor core, which stores copies of the data from frequently used main memory locations. Most CPUs have a hierarchy of multiple cache levels (L1, L2, often L3, and rarely even L4), with different instruction-specific and data-specific caches at level 1.

Cache coherence

In computer architecture, cache coherence is the uniformity of shared resource data that ends up stored in multiple local caches. When clients in a system maintain caches of a common memory resource, problems may arise with incoherent data, which is particularly the case with CPUs in a multiprocessing system. In the illustration on the right, consider both the clients have a cached copy of a particular memory block from a previous read.

Related lectures (64)

Cache Memory

Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.

Cache Coherence: Basics and Protocols

Explores cache coherence in multiprocessor systems, discussing basic protocols and challenges of shared data among CPUs.

Virtual Memory

Covers virtual memory, program relocation, memory protection, TLB, and memory hierarchy interactions.

Rescuing Data Center Processors

Explores challenges and solutions for data center processors, focusing on efficiency, cache issues, branch prediction, and architectural optimizations.

Caches - Performance