A Methodology for Fine- Grained Parallelism in JavaScript ...

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Modern JavaScript Most web applications are written using JavaScript • Email • Office suites • Games • IDEs Many server side applications use JavaScript • CommonJS • node.js, RingoJS, wakanda, many more... • MongoDB map/reduce, CouchDB views APIs for Desktop, Mobile
Why is JavaScript Slow it's not because JavaScript is interpreted, - current JavaScript engines are JIT compilers - they perform standard optimizations and code gen - they can generate good code it's because JavaScript is untyped, what does c = a + b mean if a = 1, b = 2 if a = "cat", b = "dog" Other reasons too: object creation, use of eval, sparse arrays, ... but these things shouldn't be in hot loops anyway
Page 1: Computer Systems @ Colorado COMPUTE
Page 5 and 6: Go Faster with Parallelism ● ●
Page 7 and 8: Sluice: EDSL for Stream Parallelism
Page 9 and 10: Stream Parallelism Simplifies Progr
Page 11 and 12: Kernel Offload ● ● Offload sele
Page 13 and 14: Evaluation ● ● Set of compute i
Page 15 and 16: Results: Pixastic 1800 600 executio
Page 17 and 18: Results: n-body 600 3 500 time per
Page 19 and 20: Blank Slide
Page 21: enchmarks['invert'] = { ref : funct

A Methodology for Fine- Grained Parallelism in JavaScript ...

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