only a small fraction of the features of each component, and your program con-sumes 10 or 100 times the hardware resources of a fully custom program, butyou write 10% or 1% of the code you would have written 30 years ago.

The musical depiction of the lyrics from Figure 9.2 illustrates an additional aspect of bluesperformance practice—the use of call and response. Originally practiced by a large groupof people, this improvisational technique involves sharing ideas between the leader andher/his followers. Mastering the call and response technique is especially important at thebeginning of our encounter with jazz improvisation. It engages us in a meaningfuldialogue that includes exchanging and communicating musical ideas. The communicativeaspect of call and response is relatively straightforward in the context of verbal conversation.

NOTATION OF JAZZ STYLE, SWING RHYTHM, AND PERFORMANCE

In addition, data model policy requires that RAs maintain a record of the date of allocation of a DOI name, and the identity of the registrant on whose behalf the DOI name was allocated.

The policy provides a simple test of an RA’s competence: the ability to make a DOI Kernel Declaration, which requires that the RA has an internal system which can support the unambiguous allocation of a DOI name, and is fundamentally sound enough to support interoperability within the network.

The second aim of DOI data model policy is “to ensure minimum standards of quality of administration of DOI names by Registration Agencies, and facilitate the administration of the DOI system as a whole”.

Designing and implementing specific operational processes for e.g. quality control of input data and output data; Integrating the community into other DOI related activities and services.

Providing applications, services, marketing, outreach, business cases etc. to introduce the DOI system to the community; Designing and implementing specific operational processes for e.g. quality control of input data and output data;

Providing information and advice to the community

More sophisticated functionality available, e.g., multiple resolution, data typing

why not allow block forwarding without capturing: foo(&) foo(1, 2, &)

This is an American form,and it sent me straight into the arms of Thomas Jefferson at Monticello. And

Immediately before stepping on stage, he suggests using the tip of your right pinky finger to find the upper end of your trousers zipper. If your fingernail clicks against the zipper’s metal pull-tab, then you are safe and ready to make your entrance. If your pinky slides in up to your knuckle, however, then you have to XYZ PDQ (eXamine Your Zipper, Pretty Darn Quick)!

If we assume students want to learn - and I do - we should show our interest in their learning, rather than their performance.

The majority of real-world software benefits from the fast warm-up and performance enhancements provided by the YJIT basic block versioning JIT compiler.

I'm still against frozen-string-literal by default. It is arguable if the string creation limits performance so much in real-world programs. We need to first measure how much Ruby can be faster by frozen-string-literal. If it is not significant, Ruby should prefer dynamics and flexibility.

Because endpoints are URLs, you can – and should – monitor them to ensure they stay online. When talking about online services and websites, you’ll often hear the word “uptime”. This is the percentage of time your application stays up – in other words, the percentage of time your app is accessible and functioning. Outages and performance errors will lower your overall percentage.Monitoring your endpoints also gives you metrics on which endpoints are being accessed and what types of API calls developers are making. This can help you track user behavior, and gain insight into which endpoints are highly trafficked so you can maintain your performance.

If you write an algorithm in a straightforward way in Node, you can expect it to run about as fast as if you write it in a vectorized way using Numpy, or twenty times as fast as if you write it in a straightforward way in CPython.

current JavaScript tools could be faster than they are today

Scaffolding is the act of providing learners with assistance or support to perform a taskbeyond their own reach if pursued independently when “unassisted.”

It's not entirely the Twitter people's fault. They've been taught to behave in certain ways. To chase likes and retweets/boosts. To promote themselves. To perform.

The most intriguing result in the present study is thepositive effect of white noise on performance for theADHD children. This noise effect was present in boththe non-medicated and medicated children. Thissupports the MBA (Moderate Brain Arousal) model(Sikstro ̈m & So ̈derlund, 2007), suggesting that theendogenous (neural) noise level in children withADHD is sub-optimal. MBA accounts for the noise-enhancing phenomenon by stochastic resonance(SR). The model suggests that noise in the environ-ment introduces internal noise into the neural sys-tem through the perceptual system. Of particularimportance, the MBA model suggests that the peakof the SR curve depends on the dopamine level, sothat participants with low dopamine levels (ADHD)require more noise for optimal cognitive performancecompared to controls.

It has long been known that cognitive processing iseasily disturbed by noise and other distractors(Broadbent, 1958).

The MBAmodel predicts that noise enhances memory perfor-mance for ADHD and attenuates performance forcontrols. We will also argue for a link between theeffects of noise, dopamine regulation, and cognitiveperformance.

Results: Noise exerted a positive effect on cognitive performance forthe ADHD group and deteriorated performance for the control group, indicating that ADHD subjectsneed more noise than controls for optimal cognitive performance

Rust lets us explicitly state our desires to the compiler

That is called profiling, not performance testing. Performance testing should ensure that a piece of code runs within a desired amount of time, given a certain context, before the new code goes into production.

The lack of CPU power in those days also meant there was deep skepticism about the performance of interpreters in general, and in the user interface in particular. Mention "interpreted language" and what sprung to mind was BASIC or UCSD Pascal, neither regarded as fast.

The more I think about it, the less I think there is a meaningful definition of the one true run time. I have put significant effort into making sure that runtimes are consistent but, however we do this, it makes our experiments less realistic. With rare exceptions (perhaps some safety critical systems) our algorithms will not be used in highly controlled situations, moderated to reduce variability between runs or to maximise speed of this particular process. Algorithms will be run as part of a larger system, in a computer sometimes with many other processes and sometimes with few and, because of the way that computing has developed, sometimes in raw silicon and sometimes in virtual machines. So the more I think about it, the more I think that what matters is the distribution of run times. For this, your experiment on your hardware is important, but so are future recomputations on a wide variety of VMs running on a variety of different hardware.

If I can’t run your experiment at all, then I can’t reproduce your times.

This is what I observed in hyper productive people: some of them have a unique, novel system of organizing their knowledge, but many of them don't. So, having such a system is probably not that important.

Another key idea here is to separate meaning from tactics. E.g. the meaning of sorting is much simpler and more compact than the dozens of most useful sorting algorithms, each one of which uses different strategies and tactics to achieve the same goal. If the “meanings” of a program could be given in a way that the system could run them as programs, then a very large part of the difficulties of program design would be solved in a very compact fashion. The resulting “meaning code” would constitute a debuggable, runnable specification that allows practical testing. If we can then annotate the meanings with optimizations and keep them separate, then we have also created a much more controllable practical system.

there is clear evidence that explicitly teaching reading strategies to students improves their overall academic performance, such instruction is often limited to developmental reading or study skills courses (Saxby 2017, 37-38).

Cold starts depend a lot on what people actually deploy. They're really fast for an optimized Go binary, really slow for most Node apps.

therefore the gases should be removed from the condenser. This can be achieved byinstalling vacuum pumps, compressors, or steam ejectors. The condenser heat removalis done either by using a cooling tower or through cold air circulation in the condenser.The condensate forms a small fraction of the cooling water circuit, a large portion ofwhich is then evaporated and dispersed into the atmosphere by the cooling tower. Thecooling water surplus (blow down) is disposed of in shallow injection wells. In singleflash condensation system, the condensate does have direct contact with the coolingwater.

Single flash power plants are classified according to their steam turbines types, i.e., theturbine exit conditions. Two such basic types are the single flash with a condensationsystem and the single flash back pressure system. In the first type, a condenser oper-ating at very low pressure is used to condensate the steam leaving the steam turbine.The condenser should operate at low vacuum pressure to maintain a large enthalpy dif-ference across the expansion process of the steam turbine, hence resulting in a higherpower output. The geothermal fluid usually contains non-condensable gases which arecollected at the condenser. Such a collection of gases may raise the condenser pressure,

Some people have expressed surprise end even doubt that it could be faster to read the files twice than reading them just once. Perhaps I didn't manage to explain very clearly what I was doing. I am talking about cache pre-loading, in order to have the files in disk cache when later accessing them in a way that would be slow to do on the physical disk drive. Here is a web page where I have tried to explain more in detail, with pictures, C code and measurements.

Remember the caching. Reading two files sequentially into memory from the physical disk can be faster than reading them both in parallel, alternating between them (moving the read head back and forth). Everything you do later, with all the data cached in memory, is relatively much faster. But yes, it depends on the data, and this is an average. Two files that actually do differ in the beginning will be faster to compare byte by byte.

The law of the "Wild West of Programming" was still held in too high esteem! The same inertia that kept many assembly code programmers from ad- vancing to use FORTRAN is now the principal obstacle against moving from a "FORTRAN style" to a structured style.

The amount of resistance and prejudices which the farsighted originators of FORTRAN had to overcome to !gMn acceptance of their product is a memorable indication of the degree to which programmers were pre- occupied with efficiency, and to which trick- ology had already become an addiction

it's minified before encoding the link (with encoding) is only 224 characters, instead of 337

I just dislike how non-native it feels and looks.

The unified approachhas the advantage, that the enterprise has more control overthe data and quality, and the data querying is significantlyfaster.

However, federated querying andaccess control over fine-grained datasources drastically impedethe performance.

It's typically taken for granted that better performance must require higher complexity. But I've often had the experience that making some component of a system faster allows the system as a whole to be simpler

The latest SQLite 3.8.7 alpha version is 50% faster than the 3.7.17 release from 16 months ago. [...] This is 50% faster at the low-level grunt work of moving bits on and off disk and search b-trees. We have achieved this by incorporating hundreds of micro-optimizations. Each micro-optimization might improve the performance by as little as 0.05%. If we get one that improves performance by 0.25%, that is considered a huge win. Each of these optimizations is unmeasurable on a real-world system (we have to use cachegrind to get repeatable run-times) but if you do enough of them, they add up.

fun, fairness, and challenge

My students do not arrive in the gym thinking about how their performance will be evaluated.

They will demonstrate the art of the catch. Their art of the catch.

there are thousands of pieces that I miss

“performance'' because I teach physical education

Edge computing is an emerging new trend in cloud data storage that improves how we access and process data online. Businesses dealing with high-frequency transactions like banks, social media companies, and online gaming operators may benefit from edge computing.

This still would not eliminate all delay, but I think this could be faster (no render blocking), and cleaner than having inline scripts scattered all over the parent document.

All of these approaches use a comparison technique called "shallow equality". This means checking every individual field in two different objects, and seeing if any of the contents of the objects are a different value. In other words, obj1.a === obj2.a && obj1.b === obj2.b && ......... This is typically a fast process, because === comparisons are very simple for the JS engine to do. So, these three approaches do the equivalent of const shouldRender = !shallowEqual(newProps, prevProps).

When trying to improve software performance in general, there are two basic approaches: 1) do the same work faster, and 2) do less work. Optimizing React rendering is primarily about doing less work by skipping rendering components when appropriate.

it's much faster—the stack frame does not have to be carried along the "thrown symbol", and no object is created. Lightweight nonlinear flow control.

Anita: So, you said you wanted to start off by singing a song?Billy: Yeah, well I’ll sing a song. [Singing] “Well I guess you wondering where I'd been. I searched to find the love within. In my world only you make me do for love, girl, what I would not do. My friends wonder what is wrong with me, but I'm in a daze." Alright. That's it.

You can return the record directly from the UPDATE, which is much faster than calling an additional SELECT statement. Use RETURN QUERY and UPDATE with a RETURNING clause.

The digestive consequences of forage consumption are determined by plant forage quality and animal digestive and detoxification abilities. This interaction, in turn, affects the nutrients and energy available for animal growth and maintenance.

“I’m not a musician. I don’t mean that in a derogatory way. But I mean, I wasted a lot of my life playing instruments, which was foolish,” O’Rourke told the newsletter Tone Glow in an interview published in May 2020. “I have no interest in anything being a vessel for expressing something . . . I always like to say, ‘I do stuff.’ ”

Optimization in this case is nothing crazy, just something I neglected while designing the framework.

The dynamic maximum strength of the calves is a basic prerequisite for short sprints and should be regarded as a performance reserve.

If a UTF8-encoded Ruby string contains unicode characters, then indexing into that string becomes O(N). This can lead to very bad performance in string_end_with_semicolon?, as it would have to scan through the whole buffer for every single file. This commit fixes it to use UTF32 if there are any non-ascii characters in the files.

What is the point of avoiding the semicolon in concat_javascript_sources

   (intermediate value)(...) is not a function
       at something.source.js:1

   ({
     // other.js
   })()
   (function() {
     // something.js
   })();

And no need to walk backwards through all these strings which is surprisingly inefficient in Ruby.

Since the common problem with concatenating JavaScript files is the lack of semicolons, automatically adding one (that, like Sam said, will then be removed by the minifier if it's unnecessary) seems on the surface to be a perfectly fine speed optimization.

reducing it down to one call significantly speeds up the operation.

I feel like the walk in string_end_with_semicolon? is unnecessarily expensive when having an extra semicolon doesn't invalidate any JavaScript syntax.

You could also use the NodeIterator API, but TreeWalker is faster

All those 'modern' and 'super-modern' querySelectorAll("*") need to process all nodes and do string comparisons on every node.

the fastest solution because the main workload is done by the Browser Engine NOT the JavaScript Engine

One of my favorite knee-friendly strength training exercises is the half-squat, half-deadlift.

The alternative was to have multiple scripts or stylesheet links on one page, which would trigger multiple HTTP requests. Multiple requests mean multiple connection handshakes for each link “hey, I want some data”, “okay, I have the data”, “alright I heard that you have the data, give it to me” (SYN, ACK, SYNACK). Even once the connection is created there is a feature of TCP called TCP slow start that will throttle the speed of the data being sent at the beginning of a request to a slower speed than the end of the request. All of this means transferring one large request is faster than transferring the same data split up into several smaller requests.

why a company like Facebook invests so much research and engineering into the network performance of things as seemingly trivial as notifications.

Nearly 10,000 fans watched her 30-minute performance on Pitchfork’s Instagram, for free.

Just saying “snaps are slow” is not helpful to anyone. Because frankly, they’re not. Some might be, but others aren’t. Using blanket statements which are wildly inaccurate will not help your argument. Bring data to the discussion, not hearsay or hyperbole.

I don’t find the software slow, I find the startup time for snap packages when the start for the first time on a session slow, but that has been improved, and it’s public that the snapcraft team has been working hard to improve that.

People think that fighters fight best when they are angry, that singers, actors and musicians perform best when they are high on emotions. This cannot be further from the truth. Studies show that in high-stress situations, we perform when we separate ourselves from our emotions. Like how a cup is only useful when it’s empty, it is only when we empty ourselves that we can become a conduit for our art, transcend our mortal shell, and perform at the highest levels.

it can be difficult or verbose to accomplish some things like animations in React, especially without libraries, and high-performance React animation libraries often bail out of its rendering cycle to manipulate the DOM directly.

The template language's restrictions compared to JavaScript/JSX-built views are part of Svelte's performance story. It's able to optimize things ahead of time that are impossible with dynamic code because of the constraints. Here's a couple tweets from the author about that

Because Jamstack projects don’t rely on server-side code, they can be distributed instead of living on a single server. Serving directly from a CDN unlocks speeds and performance that can’t be beat. The more of your app you can push to the edge, the better the user experience.

Better PerformanceWhy wait for pages to build on the fly when you can generate them at deploy time? When it comes to minimizing the time to first byte, nothing beats pre-built files served over a CDN.

Psychologists have only seriously begun analyzing self-talk in the last couple of decades, and here’s what we know:1) Positive self-talk improves performance in most sports.2) Questions like “Will I do this?” produce better results than statements like “I will do this.”3) Using “we” in self-talk is better than using “I.”4) Talking about yourself in third person is more effective than talking in first person.5) Both motivational (“I will do this!“) and instructional (“See the target…straighten elbows…lock onto target…“) self-talk seems to be effective in enhancing performance.

It's fast. The Dart VM is highly optimized, and getting faster all the time (for the latest performance numbers, see perf.md). It's much faster than Ruby, and close to par with C++.

Preserving user privacy is difficult when detectingmore nuanced forms of censorshipSome forms of softcensorship might involve intentional performance degrada-tion or content manipulation. Detecting this type of behav-ior would require comparing performance or content acrossgroups of users, but such a comparison also implies thateach user must reveal their browsing history.