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

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Making Parallelism Easier Use an Embedded Domain Specific Language (EDSL) How to put a DSL into a general purpose language: 1. restrict the language to not do things you don't like 2. augment the language to do the things you do like 3. add runtime AST construction + DSL compiler Get the benefits of the host syntax, compiler, libraries, etc. Examples: Copperhead for Python, Intel Array Building Blocks / Rapidmind / Ct for C++, Microsoft Accelerator for .NET
Sluice: EDSL for Stream Parallelism • Kahn Process Network model of computation • StreamIt style program construction function Adder(arg) { Kernel Split Kernel this.a = arg; this.work = function() { Kernel var e = this.pop(); Kernel ... Kernel Kernel Kernel Kernel e = e + this.a; Kernel this.push(e); return false; Join Kernel Kernel } } var add0 = new Adder(1); var add1 = new Adder(1); var add2 = new Adder(1); pipeline split-join data parallel var sj = Sluice.SplitRR(1, add0, add1, add2).JoinRR(1); var p = Sluice.Pipeline(new Count(10), sj, new Printer()); > p.run() 1 2 3 4 5 6 7 8 9 10
Page 1 and 2: Computer Systems @ Colorado COMPUTE
Page 3 and 4: Why is JavaScript Slow it's not bec
Page 5: Go Faster with 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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