Concept

Load–store architecture

In computer engineering, a load–store architecture (or a register–register architecture) is an instruction set architecture that divides instructions into two categories: memory access (load and store between memory and registers) and ALU operations (which only occur between registers). Some RISC architectures such as PowerPC, SPARC, RISC-V, ARM, and MIPS are load–store architectures. For instance, in a load–store approach both operands and destination for an ADD operation must be in registers. This differs from a register–memory architecture (for example, a CISC instruction set architecture such as x86) in which one of the operands for the ADD operation may be in memory, while the other is in a register. The earliest example of a load–store architecture was the CDC 6600. Almost all vector processors (including many GPUs) use the load–store approach.

Official source

https://en.wikipedia.org/wiki/Load–store_architecture

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related courses (1)

EE-583: Spacecraft avionics architectures

The course presents and analyses the different systems, architectures and components of spacecraft avionics (on board data handling and processing systems) controlling and commanding spacecraft and payloads (instruments). It will study typical bus structur ...

Related lectures (14)

Introduction to CAN & CANopen

Covers the introduction to Controller Area Network (CAN) and CANopen protocols used in spacecraft avionics systems, including network standards, future trends, and communication objects.

MIPS ISA: Instruction Classes and Addressing Modes

Explores MIPS ISA instruction classes, memory organization, and addressing modes, including examples and endianness.

Microelectronics Vulnerability to Space Environment

Explores the vulnerability of microelectronics to space radiations and mitigation techniques.

Related publications (3)

SOM-based Clustering of Multilingual Documents Using an Ontology

Clustering similar documents is a difficult task for text data mining. Difficulties stem especially from the way documents are translated into numerical vectors. In this chapter, we will present a method that uses Self Organizing Map (SOM) to cluster medical documents. The originality of the method is that it does not rely on the words shared by documents, but rather on concepts taken from an ontology. Our goal is to cluster various medical documents in thematically consistent groups (e.g., grouping all the

Information Science Reference2008

The more you learn, the less you store: memory\--controlled incremental SVM

The capability to learn from experience is a key property for a visual recognition algorithm working in realistic settings. This paper presents an SVM-based algorithm, capable of learning model representations incrementally while keeping under control memory requirements. We combine an incremental extension of SVMs with a method reducing the number of support vectors needed to build the decision function without any loss in performance, introducing a parameter which permits a user-set trade-off between perf

IDIAP2006

Load sharing for multiprocessor network nodes

Lukas Kencl

This thesis discusses techniques for sharing the processing load among multiple processing units within systems that act as nodes in a data communications network. Load-sharing techniques have been explored in the field of computer science for many years and their benefits are well known, including better utilization of processing capacity and enhanced system fault tolerance. We discuss deploying such methods in the specifics of the networking environment. We concentrate particularly on the data plane, or t

EPFL2003

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.