know your engines
play

Know Your Engines How to Make Your JavaScript Fast Dave Mandelin 8 - PowerPoint PPT Presentation

Aug 15, 2022 •298 likes •2.15k views

Know Your Engines How to Make Your JavaScript Fast Dave Mandelin 8 November 2011 OReilly Velocity Europe Tuesday, November 8, 2011 JavaScript is getting really fast and programs are getting crazy Bullet physics engine (ammo.js) H.264

  1. Running Code with the JIT All Major The basic JIT compiler on x = y + z : Browsers ‣ read the operation x = y + z from memory CPU does it for us! ‣ read the inputs y and z from memory ‣ check the types of y and z and choose the action ‣ unbox y and z ‣ execute the action ‣ box the output x ‣ write the output x to memory JIT code can keep things in registers Tuesday, November 8, 2011

  2. Choosing the action in the JIT Tuesday, November 8, 2011

  3. Choosing the action in the JIT • Many cases for operators like + Tuesday, November 8, 2011

  4. Choosing the action in the JIT • Many cases for operators like + • Engines generate fast JIT code for “common cases” • number + number • string + string Tuesday, November 8, 2011

  5. Choosing the action in the JIT • Many cases for operators like + • Engines generate fast JIT code for “common cases” • number + number • string + string • “Rare cases” run in the slow zone • number + undefined Tuesday, November 8, 2011

  6. JITs for Regular Expressions All Major Browsers • There is a separate JIT for regular expressions • Regular expressions are generally faster than manual search • Still in the slow zone: • Some complex regexes (example: backreferences ) • Building result arrays ( test much faster than exec ) Tuesday, November 8, 2011

  7. Object Properties function f(obj) { return obj.a + 1; } Tuesday, November 8, 2011

  8. Object Properties function f(obj) { return obj.a + 1; } • Need to search obj for a property named a slow Tuesday, November 8, 2011

  9. Object Properties function f(obj) { return obj.a + 1; } • Need to search obj for a property named a slow • May need to search prototype chain up several levels super-slow Tuesday, November 8, 2011

  10. Object Properties function f(obj) { return obj.a + 1; } • Need to search obj for a property named a slow • May need to search prototype chain up several levels super-slow • Finally, once we’ve found it, get the property value fast! Tuesday, November 8, 2011

  11. ICs: a mini-JIT for objects All Major Browsers Tuesday, November 8, 2011

  12. ICs: a mini-JIT for objects All Major Browsers • Properties become fast with inline caching (we prefer IC ) Tuesday, November 8, 2011

  13. ICs: a mini-JIT for objects All Major Browsers • Properties become fast with inline caching (we prefer IC ) • Basic plan: Tuesday, November 8, 2011

  14. ICs: a mini-JIT for objects All Major Browsers • Properties become fast with inline caching (we prefer IC ) • Basic plan: 1. First time around, search for the property in the Slow Zone Tuesday, November 8, 2011

  15. ICs: a mini-JIT for objects All Major Browsers • Properties become fast with inline caching (we prefer IC ) • Basic plan: 1. First time around, search for the property in the Slow Zone 2. But record the steps done to actually get the property Tuesday, November 8, 2011

  16. ICs: a mini-JIT for objects All Major Browsers • Properties become fast with inline caching (we prefer IC ) • Basic plan: 1. First time around, search for the property in the Slow Zone 2. But record the steps done to actually get the property 3. Then JIT a little piece of code that does just those steps Tuesday, November 8, 2011

  17. ICs: Example Example Code var obj1 = { a: 1, b: 2, c: 3 }; var obj2 = { b: 2 }; function f(obj) { return obj.b + 1; } Tuesday, November 8, 2011

  18. ICs: Example Example Code var obj1 = { a: 1, b: 2, c: 3 }; var obj2 = { b: 2 }; function f(obj) { return obj.b + 1; } Generated JIT Code ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  19. ICs: Example Example Code shape=12, in position 1 var obj1 = { a: 1, b: 2, c: 3 }; var obj2 = { b: 2 }; function f(obj) { return obj.b + 1; } Generated JIT Code ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  20. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] jump continue_1 function f(obj) { return obj.b + 1; } Generated JIT Code ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  21. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] jump continue_1 function f(obj) { return obj.b + 1; } Generated JIT Code ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  22. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] jump continue_1 function f(obj) { return obj.b + 1; } Generated JIT Code ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  23. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] shape=15, in position 0 jump continue_1 function f(obj) { return obj.b + 1; } Generated JIT Code ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  24. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] shape=15, in position 0 jump continue_1 function f(obj) { return obj.b + 1; icStub_2: } compare obj.shape, 15 jumpIfFalse slowPropAccess load obj.props[0] Generated JIT Code jump continue_1 ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  25. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] shape=15, in position 0 jump continue_1 function f(obj) { return obj.b + 1; icStub_2: } compare obj.shape, 15 jumpIfFalse slowPropAccess load obj.props[0] Generated JIT Code jump continue_1 ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  26. ICs: Example Example Code icStub_1: shape=12, in position 1 compare obj.shape, 12 var obj1 = { a: 1, b: 2, c: 3 }; jumpIfFalse slowPropAccess var obj2 = { b: 2 }; load obj.props[1] shape=15, in position 0 jump continue_1 function f(obj) { return obj.b + 1; icStub_2: } compare obj.shape, 15 jumpIfFalse slowPropAccess load obj.props[0] Generated JIT Code jump continue_1 ... jump slowPropAccess slowPropAccess: continue_1: ... set up call ... call ICGetProp ; C++ Slow Zone jump continue_1 Tuesday, November 8, 2011

  27. These are fast because of ICs Global Variable Access var q = 4; var r; function f(obj) { r = q; } Tuesday, November 8, 2011

  28. These are fast because of ICs Global Variable Access var q = 4; var r; function f(obj) { r = q; } Direct Property Access var obj1 = { a: 1, b: 2, c: 3 }; var obj2 = { b: 2 }; function f(obj) { obj2.b = obj1.c; } Tuesday, November 8, 2011

  29. These are fast because of ICs Closure Variable Access Global Variable Access var f = function() { var q = 4; var x = 1; var r; var g = function() { var sum = 0; function f(obj) { for (var i = 0; i < N; ++i) { r = q; sum += x; } } return sum; Direct Property Access } return g(); var obj1 = { a: 1, b: 2, c: 3 }; } var obj2 = { b: 2 }; function f(obj) { obj2.b = obj1.c; } Tuesday, November 8, 2011

  30. Prototype chains don’t hurt function A(x) { this.x = x; } function B(y) { this.y = y; } B.prototype = new A; function C(z) { this.z = z; } C.prototype = new B; Tuesday, November 8, 2011

  31. Prototype chains don’t hurt new A function A(x) { this.x = x; } new B function B(y) { proto this.y = y; } new C(1) B.prototype = new A; function C(z) { this.z = z; } C.prototype = new B; Tuesday, November 8, 2011

  32. Prototype chains don’t hurt new A function A(x) { this.x = x; } new B function B(y) { proto this.y = y; } new C(1) new C(2) B.prototype = new A; function C(z) { this.z = z; } C.prototype = new B; Tuesday, November 8, 2011

  33. Prototype chains don’t hurt new A function A(x) { this.x = x; } new B function B(y) { proto this.y = y; } new C(1) new C(2) new C(3) B.prototype = new A; function C(z) { this.z = z; } C.prototype = new B; Tuesday, November 8, 2011

  34. Prototype chains don’t hurt new A function A(x) { this.x = x; } new B function B(y) { proto this.y = y; } new C(1) new C(2) new C(3) B.prototype = new A; function C(z) { Shape of new C objects determines prototype this.z = z; } C.prototype = new B; Tuesday, November 8, 2011

  35. Prototype chains don’t hurt new A function A(x) { this.x = x; } new B function B(y) { proto this.y = y; } new C(1) new C(2) new C(3) B.prototype = new A; function C(z) { Shape of new C objects determines prototype this.z = z; } C.prototype = new B; -> IC can generate code that checks shape, then reads directly from prototype without walking Tuesday, November 8, 2011

  36. Many Shapes Slow Down ICs What happens if many shapes of obj are passed to f? function f(obj) { return obj.p; } ICs end up looking like this: Tuesday, November 8, 2011

  37. Many Shapes Slow Down ICs What happens if many shapes of obj are passed to f? function f(obj) { return obj.p; } ICs end up looking like this: jumpIf shape != 12 read for shape 12 Tuesday, November 8, 2011

  38. Many Shapes Slow Down ICs What happens if many shapes of obj are passed to f? function f(obj) { return obj.p; } ICs end up looking like this: jumpIf shape != 12 read for shape 12 jumpIf shape != 15 read for shape 15 Tuesday, November 8, 2011

  39. Many Shapes Slow Down ICs What happens if many shapes of obj are passed to f? function f(obj) { return obj.p; } ICs end up looking like this: jumpIf shape != 12 read for shape 12 jumpIf shape != 15 read for shape 15 jumpIf shape != 6 read for shape 6 Tuesday, November 8, 2011

  40. Many Shapes Slow Down ICs What happens if many shapes of obj are passed to f? function f(obj) { return obj.p; } ICs end up looking like this: ... jumpIf shape != 12 jumpIf shape != 16 read for shape 12 read for shape 16 jumpIf shape != 15 jumpIf shape != 22 read for shape 15 read for shape 22 jumpIf shape != 6 jumpIf shape != 3 read for shape 6 read for shape 3 Tuesday, November 8, 2011

  41. Many shapes in practice 100 IE IE Slow Zone for 2+ shapes Opera Chrome 75 nanoseconds/iteration Opera # of shapes doesn’t matter! Firefox Safari Chrome more shapes -> slower 50 Firefox slower with more shapes, 25 but levels off in Slow Zone Safari 0 1 2 8 16 32 100 200 # of shapes at property read site Tuesday, November 8, 2011

  42. Deeply Nested Closures are Slower var f = function() { var x; var g = function() { var h = function() { var y; var i = function () { var j = function() { z = x + y; Tuesday, November 8, 2011

  43. Deeply Nested Closures are Slower f call object var f = function() { var x; var g = function() { var h = function() { h call object var y; var i = function () { var j = function() { j call object z = x + y; First call to f Tuesday, November 8, 2011

  44. Deeply Nested Closures are Slower f call object f call object var f = function() { var x; var g = function() { var h = function() { h call object h call object var y; var i = function () { var j = function() { j call object j call object z = x + y; Second call to f First call to f Tuesday, November 8, 2011

  45. Deeply Nested Closures are Slower f call object f call object var f = function() { var x; var g = function() { var h = function() { h call object h call object var y; var i = function () { var j = function() { j call object j call object z = x + y; Second call to f First call to f • Prototype chains don’t slow us down, but deep closure nesting does. Why? Tuesday, November 8, 2011

  46. Deeply Nested Closures are Slower f call object f call object var f = function() { var x; var g = function() { var h = function() { h call object h call object var y; var i = function () { var j = function() { j call object j call object z = x + y; Second call to f First call to f • Prototype chains don’t slow us down, but deep closure nesting does. Why? • Every call to f generates a unique closure object to hold x . Tuesday, November 8, 2011

  47. Deeply Nested Closures are Slower f call object f call object var f = function() { var x; var g = function() { var h = function() { h call object h call object var y; var i = function () { var j = function() { j call object j call object z = x + y; Second call to f First call to f • Prototype chains don’t slow us down, but deep closure nesting does. Why? • Every call to f generates a unique closure object to hold x . • The engine must walk to find the right x each time Tuesday, November 8, 2011

  48. Properties in the Slow Zone Tuesday, November 8, 2011

  49. Properties in the Slow Zone Undefined Property (Fast on Firefox, Chrome) var a = {}; a.x; Tuesday, November 8, 2011

  50. Properties in the Slow Zone Undefined Property (Fast on Firefox, Chrome) var a = {}; a.x; DOM Access (I only tested .id, so take with a grain of salt-- other properties may differ) var a = document.getByElementId(“foo”); a.id; Tuesday, November 8, 2011

  51. Properties in the Slow Zone Undefined Property Scripted Getter (Fast on Firefox, Chrome) (Fast on IE) var a = { x: get() { return 1; } }; var a = {}; a.x; a.x; DOM Access (I only tested .id, so take with a grain of salt-- other properties may differ) var a = document.getByElementId(“foo”); a.id; Tuesday, November 8, 2011

  52. Properties in the Slow Zone Undefined Property Scripted Getter (Fast on Firefox, Chrome) (Fast on IE) var a = { x: get() { return 1; } }; var a = {}; a.x; a.x; DOM Access Scripted Setter (I only tested .id, so take with a grain of salt-- var a = { x: set(y) { this.x_ = y; } }; other properties may differ) a.x = 1; var a = document.getByElementId(“foo”); a.id; Tuesday, November 8, 2011

  53. The Typed JIT Compiler Firefox 3.5+ (Tracemonkey, JM+TI) Chrome 11+ (Crankshaft) Tuesday, November 8, 2011

  54. Types FTW! If only JavaScript had type declarations... Tuesday, November 8, 2011

  55. Types FTW! If only JavaScript had type declarations... ➡ The JIT would know the type of every local variable Tuesday, November 8, 2011

  56. Types FTW! If only JavaScript had type declarations... ➡ The JIT would know the type of every local variable ➡ Know exactly what action to use (no type checks) Tuesday, November 8, 2011

  57. Types FTW! If only JavaScript had type declarations... ➡ The JIT would know the type of every local variable ➡ Know exactly what action to use (no type checks) ➡ Local variables don’t need to be boxed (or unboxed) Tuesday, November 8, 2011

  58. Types FTW! If only JavaScript had type declarations... ➡ The JIT would know the type of every local variable ➡ Know exactly what action to use (no type checks) ➡ Local variables don’t need to be boxed (or unboxed) I call this kind of JIT a typed compiler Tuesday, November 8, 2011

  59. But JS doesn’t have types Tuesday, November 8, 2011

  60. But JS doesn’t have types • Problem: JS doesn’t have type declarations Tuesday, November 8, 2011

  61. But JS doesn’t have types • Problem: JS doesn’t have type declarations • Solution: run the program for a bit, monitor types • Bonus points: use static analysis to infer more types Tuesday, November 8, 2011

  62. But JS doesn’t have types • Problem: JS doesn’t have type declarations • Solution: run the program for a bit, monitor types • Bonus points: use static analysis to infer more types • Then recompile optimized for those types Tuesday, November 8, 2011

Recommend

Set 10 Search Engines &amp; SEO Outline How do search engines work? Basic operation

Set 10 Search Engines &amp; SEO Outline How do search engines work? Basic operation

IT452 Advanced Web and Internet Set 10 Search Engines &amp; SEO Outline How do search engines work? Basic operation What makes a good one? What makes it difficult? Web Design with search engines in mind Search Engines

628 views • 16 slides
Set 10 Search Engines &amp; SEO Outline How do search engines work? Basic operation

Set 10 Search Engines &amp; SEO Outline How do search engines work? Basic operation

IT452 Advanced Web and Internet Set 10 Search Engines &amp; SEO Outline How do search engines work? Basic operation What makes a good one? What makes it difficult? Web Design with search engines in mind 1 Search Engines

454 views • 8 slides
Set11 Search Engines &amp; SEO Outline How do search engines work? Basic operation

Set11 Search Engines &amp; SEO Outline How do search engines work? Basic operation

IT452 Advanced Web and Internet Set11 Search Engines &amp; SEO Outline How do search engines work? Basic operation What makes a good one? What makes it difficult? Web Design with search engines in mind 1 Search Engines

205 views • 6 slides
Imagine for a moment @trentmwillis Lazy Loading Engines: Anything But Lazy Engines allow

Imagine for a moment @trentmwillis Lazy Loading Engines: Anything But Lazy Engines allow

Imagine for a moment @trentmwillis Lazy Loading Engines: Anything But Lazy Engines allow multiple logical applications to be composed together into a single application from the users perspective. - Engine RFC Lazy Loading Engines.

1.44k views • 78 slides
NTE for Nonroad Nonroad Diesel Diesel NTE for Engines Engines Matt Spears - - U.S. EPA U.S.

NTE for Nonroad Nonroad Diesel Diesel NTE for Engines Engines Matt Spears - - U.S. EPA U.S.

OCE Informal Document No. 45 Thirteenth Plenary Meeting of the Working Group On Off-Cycle Emissions 5 &amp; 6 April 2006 The Hague, Netherlands NTE for Nonroad Nonroad Diesel Diesel NTE for Engines Engines Matt Spears - - U.S. EPA U.S.

545 views • 20 slides
EPAs Air Quality Regulations for Stationary Engines for Stationary Engines Melanie King U.S.

EPAs Air Quality Regulations for Stationary Engines for Stationary Engines Melanie King U.S.

EPAs Air Quality Regulations for Stationary Engines for Stationary Engines Melanie King U.S. Environmental Protection Agency February 28 2013 February 28, 2013 Agenda Background on Stationary Engines Overview of Recent Amendments

720 views • 61 slides
1 A Comparison of Open Source Search A Comparison of Open Source Search Engines Engines

1 A Comparison of Open Source Search A Comparison of Open Source Search Engines Engines

Open Source Search Engines Why? Low cost: No licensing fees Source code available for customization Good for modest or even large data sizes Open-Source Search Engines and Challenges: Lucene/Solr Performance, Scalability

347 views • 13 slides
Game Engines 1 Overview Game engines are a significant part of the modern games industry

Game Engines 1 Overview Game engines are a significant part of the modern games industry

Game Engines 1 Overview Game engines are a significant part of the modern games industry Middleware Game Engines Why use an engine? Unreal and Unity Why dont we use engines in this course? Middleware Some part of

355 views • 13 slides
Kirloskar Oil Engines Limited Earnings Update Jun 2017 Kirloskar Oil Engines Limited 1

Kirloskar Oil Engines Limited Earnings Update Jun 2017 Kirloskar Oil Engines Limited 1

Kirloskar Oil Engines Limited Earnings Update Jun 2017 Kirloskar Oil Engines Limited 1 Disclaimer Statements in this presentation, particularly those which relate to managements views and analysis, describing the Companys objectives,

582 views • 14 slides
Kirloskar Oil Engines Limited Earnings Update Dec 2017 Kirloskar Oil Engines Limited 1

Kirloskar Oil Engines Limited Earnings Update Dec 2017 Kirloskar Oil Engines Limited 1

Kirloskar Oil Engines Limited Earnings Update Dec 2017 Kirloskar Oil Engines Limited 1 Disclaimer Statements in this presentation, particularly those which relate to managements views and analysis, describing the Companys objectives,

428 views • 13 slides
Kirloskar Oil Engines Limited Earnings Update Sep 2017 Kirloskar Oil Engines Limited 1

Kirloskar Oil Engines Limited Earnings Update Sep 2017 Kirloskar Oil Engines Limited 1

Kirloskar Oil Engines Limited Earnings Update Sep 2017 Kirloskar Oil Engines Limited 1 Disclaimer Statements in this presentation, particularly those which relate to managements views and analysis, describing the Companys objectives,

617 views • 13 slides
Engines Previously We talked about the motivation behind vertical search engines,

Engines Previously We talked about the motivation behind vertical search engines,

Clustering for News Search Engines Previously We talked about the motivation behind vertical search engines, especially in the case of news A learning-to-rank approach of combining relevance ranking and freshness ranking was proposed

282 views • 15 slides
Network Query Engines Network Query Engines Craig Knoblock USC Information Sciences Institute 1

Network Query Engines Network Query Engines Craig Knoblock USC Information Sciences Institute 1

Network Query Engines Network Query Engines Craig Knoblock USC Information Sciences Institute 1 Overview Overview Network Query Engines Tukwila, Telegraph, Niagara Dataflow &amp; pipelining similar to Theseus Execution

305 views • 16 slides
The Overview of Web Search Engines Presented by Sunny Lam Outline Introduction Information

The Overview of Web Search Engines Presented by Sunny Lam Outline Introduction Information

The Overview of Web Search Engines Presented by Sunny Lam Outline Introduction Information Retrieval Searching Problems Types of Search Engines The Largest Search Engines Architectures User Interfaces Web Directories Ranking Web

461 views • 35 slides
Heat Engines and the Second Law of Thermodynamics Heat Engines Reversible and Irreversible

Heat Engines and the Second Law of Thermodynamics Heat Engines Reversible and Irreversible

Heat Engines and the Second Law of Thermodynamics Heat Engines Reversible and Irreversible Processes The Carnot Engine Refrigerators and Heat Pumps The Second Law of Thermodynamics Homework

248 views • 12 slides
Lecture 6 GEOS24705 Steam engines, heat engines First true steam engine:

Lecture 6 GEOS24705 Steam engines, heat engines First true steam engine:

Lecture 6 GEOS24705 Steam engines, heat engines First true steam engine: Thomas Newcomen, 1712, blacksmith Copy of Papins engine of design of 1690 First

303 views • 17 slides
Game Engines and Machine Learning Game Engines and Machine Learning @The_McJones

Game Engines and Machine Learning Game Engines and Machine Learning @The_McJones

Game Engines and Machine Learning Game Engines and Machine Learning @The_McJones @TheMartianLife @parisba Data Science Game Development Practical Artificial Intelligence with Swift From Fundamental Theory to Development of AI - Driven

859 views • 70 slides
NCC Education and You Study and Communication Skills Your Name Internet Search Engines Date

NCC Education and You Study and Communication Skills Your Name Internet Search Engines Date

NCC Education and You Study and Communication Skills Your Name Internet Search Engines Date Search engines The history of search engines How they developed How they work The future of search engines NCC Education and You Your

478 views • 10 slides
3D Game Development Intro to Game Engines Engines Jay Urbain, Ph.D. SE3250 OpenGL

3D Game Development Intro to Game Engines Engines Jay Urbain, Ph.D. SE3250 OpenGL

3D Game Development Intro to Game Engines Engines Jay Urbain, Ph.D. SE3250 OpenGL Programming Guide: http://www.glprogramming.com/red/ http://people.msoe.edu/~urbain/cs421/index.html http://jmonkeyengine.org Game engine

724 views • 37 slides
Operational Characteristics of Liquid-piston Heat Engines James W. Stevens, Ryan O. Kerns and

Operational Characteristics of Liquid-piston Heat Engines James W. Stevens, Ryan O. Kerns and

Operational Characteristics of Liquid-piston Heat Engines James W. Stevens, Ryan O. Kerns and Jack W. Mason Abstract Liquid piston Stirling engines (sometimes termed fluidyne engines) have been studied, proposed, and applied in a

384 views • 13 slides
Search Engines Issues Avi Rappoport Search Tools Consulting Search Issues Enterprise Search

Search Engines Issues Avi Rappoport Search Tools Consulting Search Issues Enterprise Search

Search Engines Issues Avi Rappoport Search Tools Consulting Search Issues Enterprise Search Engines Corporate and institutional sites E-commerce Intranets P2P, Meta search and distributed search CMSs and Search Engines

429 views • 25 slides
Introduction to Rules Engines Brian McCallister brianm@ninginc.com http://www.ninginc.com/

Introduction to Rules Engines Brian McCallister brianm@ninginc.com http://www.ninginc.com/

Introduction to Rules Engines Brian McCallister brianm@ninginc.com http://www.ninginc.com/ Objectives Understanding of forward-chaining rules engines Introduction to the Drools rules engine Insights into where rules engines are a

813 views • 45 slides
Even-Darker Art of Rails Engines @lazyatom github.com/lazyatom/engines Rails 2.3 history

Even-Darker Art of Rails Engines @lazyatom github.com/lazyatom/engines Rails 2.3 history

The Even-Darker Art of Rails Engines @lazyatom github.com/lazyatom/engines Rails 2.3 history November 2005 its distracting! reuse is overrated! Evil! Evil! Evil! Evil! Evil! Evil! Evil! Evil! Shit! eek! appable_plugins desert

972 views • 96 slides
A Short Introduction to Servo Web Engines Hackfest 2014 Martin Robinsonn @abandonedwig The

A Short Introduction to Servo Web Engines Hackfest 2014 Martin Robinsonn @abandonedwig The

A Short Introduction to Servo Web Engines Hackfest 2014 Martin Robinsonn @abandonedwig The Modern Browser Fast JavaScript engines Optimized layout routines Rapidly evolving rendering pipelines Ever increasing concurrency Not Good Enough

647 views • 23 slides

More recommend