P4 understand the functioning of the

P4 - Describe the features and functions of information systems What is an Information System?

P4 understand the functioning of the

Share on Reddit Introduction Back when Ars first started, Intel had just released the first Celeron processor aimed at the low end market, and since it lacked an off-die backside cache like its cousin the PII it turned out to be extremely overclockable.

The Celeron really pushed the P4 understand the functioning of the craze into the mainstream in a big way, and Ars got its start by providing seats on the bandwagon to anyone with a web browser and a desire to learn the hows and whys of Celeron overclocking.

Frank Monroe's Celeron Overclocking FAQ was one of the most relentlessly popular articles on Ars for what seemed like forever, and "Celeron" and "overclocking" were the two main search terms that brought people in from Yahoo, which at the time was our number one referrer.

In fact, some time ago my girlfriend mentioned that she had actually come across Ars via Yahoo and read the OC FAQ years before she and I ever even met. Along with its overclockability, there was one peculiar feature of the "cacheless wonder," as the Celeron was then called, that blew everyone's mind: What became evident in the ensuing round of newsgroup and BBS speculation over this phenomenon was that few people actually understood how caching works to improve performance.

My suspicion is that this situation hasn't changed a whole lot since the Celeron's heyday. However, what has changed since then is the relative importance of caching in system design. As a result L1, L2, and even L3 caches have become a major factor in preventing relatively slow RAM from holding back overall system performance by failing to feed code and data to the CPU at a high enough rate.

The current article is intended as a general introduction to CPU caching and performance. The article covers fundamental cache concepts like spatial and temporal locality, set associativity, how different types of applications use the cache, the general layout and function of the memory hierarchy, et cetera, et cetera.

Building on all of this, the next installment will address real-world examples of caching and memory subsystems in Intel's P4 and Motorola's G4e-based systems. I hope to include some discussion of the XServe hardware, so stay tuned.

But for those who've wondered why cache size matters more in some applications than in others, or what people mean when they talk about "tag RAM," then this article is for you. Caching basics In order to really understand the role of caching in system design, it helps to think of the CPU and memory subsystem as operating on a consumer-producer or client-server model: Driven by innovations in process technology and processor design, CPUs have increased their ability to consume at a significantly higher rate than the memory subsystem has increased its ability to produce.

The problem is that CPU clock cycles have gotten shorter at a faster rate than memory and bus clock cycles, so the number of CPU clock cycles that the processor has to wait before main memory can fulfill its requests for data has increased.

Slower Faster CPU Clock To visualize the effect that this widening speed gap has on overall system performance, imagine the CPU as a downtown furniture maker's workshop and the main memory as a lumberyard that keeps getting moved further and further out into the suburbs.

Even if we start using bigger trucks to cart all the wood, it's still going to take longer from the time the workshop places an order to the time that order gets filled.

I'm not the first person to use a workshop and warehouse analogy to explain caching. The most famous example of such an analogy is the Thing King gamewhich I first saw in this book by Peter van der Linden reviewed. Sticking with our furniture workshop analogy, one solution to this problem would be to rent out a smaller warehouse in-town and store the most recently requested types of lumber, there.

This smaller, closer warehouse would act as a cache for the workshop, and we could keep a driver on-hand who could run out at a moment's notice and quickly pick up whatever we need from the warehouse.

Of course, the bigger our warehouse the better, because it allows us to store more types of wood, thereby increasing the likelihood that the raw materials for any particular order will be on-hand when we need them.Fault management software detects, isolates and resolves network problems; and if installed correctly, has the capability to keep the network running at optimum level.

P4 understand the functioning of the

A series of functions - such as scanning for viruses/Trojans, locating malfunctions or providing general diagnostics - are known as a fault management platform.

Functions There are four functions of an information system: input, storage, processing and output. These functions are often enclosed in a control or feedback loop which allows the input of a system to be changed if the system output may affect it in the future.

About This Manual xxii P4 Command Reference Function Where to look Security p4 group, p4 groups, p4 login, p4 logout, p4 passwd, p4 protect, p4 protects, p4 tickets, p4 trust, p4 user, p4 users, P4CLIENTPATH.

About This Manual This manual documents every Perforce command, environment variable, and configurable. This manual is intended for users who prefer to learn by means of Unix-style man pages, and for users who already understand the basics of Perforce and need to quickly find information on a specific command.

This manual documents every Perforce command, environment variable, and configurable. This manual is intended for users who prefer to learn by means of Unix-style man pages, and for users who already understand the basics of Perforce and need to quickly find information on a specific command.

View UnitLearning-outcome(P4-M1-D1) from HEALTHPOLI at Uni. Bradford. The functioning of body systems in relation to energy metabolism. UNIT 5 -TOPIC 2 Learning Outcome: Topic 2 By the end.

Understanding CPU caching and performance | Ars Technica