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calculator.coffee
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mainConfig =
'1.0':
version: '1.0'
threadsPerWarp: 32
warpsPerMultiprocessor: 24
threadsPerMultiprocessor: 768
threadBlocksPerMultiprocessor: 8
sharedMemoryPerMultiprocessor: 16384
registerFileSize: 8192
registerAllocationUnitSize: 256
allocationGranularity: 'block'
sharedMemoryAllocationUnitSize: 512
warpAllocationGranularity: 2
'1.1':
version: '1.1'
threadsPerWarp: 32
warpsPerMultiprocessor: 24
threadsPerMultiprocessor: 768
threadBlocksPerMultiprocessor: 8
sharedMemoryPerMultiprocessor: 16384
registerFileSize: 8192
registerAllocationUnitSize: 256
allocationGranularity: 'block'
sharedMemoryAllocationUnitSize: 512
warpAllocationGranularity: 2
'1.2':
version: '1.2'
threadsPerWarp: 32
warpsPerMultiprocessor: 32
threadsPerMultiprocessor: 1024
threadBlocksPerMultiprocessor: 8
sharedMemoryPerMultiprocessor: 16384
registerFileSize: 16384
registerAllocationUnitSize: 512
allocationGranularity: 'block'
sharedMemoryAllocationUnitSize: 512
warpAllocationGranularity: 2
'1.3':
version: '1.3'
threadsPerWarp: 32
warpsPerMultiprocessor: 32
threadsPerMultiprocessor: 1024
threadBlocksPerMultiprocessor: 8
sharedMemoryPerMultiprocessor: 16384
registerFileSize: 16384
registerAllocationUnitSize: 512
allocationGranularity: 'block'
sharedMemoryAllocationUnitSize: 512
warpAllocationGranularity: 2
'2.0':
version: '2.0'
threadsPerWarp: 32
warpsPerMultiprocessor: 48
threadsPerMultiprocessor: 1536
threadBlocksPerMultiprocessor: 8
sharedMemoryPerMultiprocessor: 49152
registerFileSize: 32768
registerAllocationUnitSize: 64
allocationGranularity: 'warp'
sharedMemoryAllocationUnitSize: 128
gcd = (a,b) ->
while (b != 0)
[a, b] = [b, a % b]
# b = a % b
# a = t
return a
lcm = (a,b) ->
a*b / gcd(a,b)
ceil = (a,b) ->
return Math.ceil(a / b) * b
window.calculate = (input) ->
config = mainConfig[input.version]
blockWarps = () ->
Math.ceil(input.threadsPerBlock / config.threadsPerWarp)
blockRegisters = () ->
if config.allocationGranularity == 'block'
ceil( ceil( blockWarps(), config.warpAllocationGranularity ) * input.registersPerThread * config.threadsPerWarp, config.registerAllocationUnitSize )
# debugger
else
ceil(input.registersPerThread * config.threadsPerWarp, config.registerAllocationUnitSize) * blockWarps()
blockSharedMemory = () ->
ceil(input.sharedMemoryPerBlock, config.sharedMemoryAllocationUnitSize)
threadBlocksPerMultiprocessorLimitedByWarpsOrBlocksPerMultiprocessor = () ->
Math.min(config.threadBlocksPerMultiprocessor, Math.floor(config.warpsPerMultiprocessor / blockWarps()))
threadBlocksPerMultiprocessorLimitedByRegistersPerMultiprocessor = () ->
if input.registersPerThread > 0
Math.floor(config.registerFileSize / blockRegisters())
else
config.threadBlocksPerMultiprocessor
threadBlocksPerMultiprocessorLimitedBySharedMemoryPerMultiprocessor = () ->
if input.sharedMemoryPerBlock > 0
Math.floor(config.sharedMemoryPerMultiprocessor / blockSharedMemory())
else
config.threadBlocksPerMultiprocessor
activeThreadsPerMultiprocessor = () ->
input.threadsPerBlock * activeThreadBlocksPerMultiprocessor()
activeWarpsPerMultiprocessor = () ->
activeThreadBlocksPerMultiprocessor() * blockWarps()
activeThreadBlocksPerMultiprocessor = () ->
Math.min(
threadBlocksPerMultiprocessorLimitedByWarpsOrBlocksPerMultiprocessor(),
threadBlocksPerMultiprocessorLimitedByRegistersPerMultiprocessor(),
threadBlocksPerMultiprocessorLimitedBySharedMemoryPerMultiprocessor()
)
occupancyOfMultiprocessor = () ->
activeWarpsPerMultiprocessor() / config.warpsPerMultiprocessor
output =
activeThreadsPerMultiprocessor: activeThreadsPerMultiprocessor()
activeWarpsPerMultiprocessor: activeWarpsPerMultiprocessor()
activeThreadBlocksPerMultiprocessor: activeThreadBlocksPerMultiprocessor()
occupancyOfMultiprocessor: occupancyOfMultiprocessor()
blockWarps: blockWarps()
blockSharedMemory: blockSharedMemory()
blockRegisters: blockRegisters()
threadBlocksPerMultiprocessorLimitedByWarpsOrBlocksPerMultiprocessor: threadBlocksPerMultiprocessorLimitedByWarpsOrBlocksPerMultiprocessor()
threadBlocksPerMultiprocessorLimitedByRegistersPerMultiprocessor: threadBlocksPerMultiprocessorLimitedByRegistersPerMultiprocessor()
threadBlocksPerMultiprocessorLimitedBySharedMemoryPerMultiprocessor: threadBlocksPerMultiprocessorLimitedBySharedMemoryPerMultiprocessor()
output = _.extend output, config
return output
window.calculateGraphs = (input) ->
graphWarpOccupancyOfThreadsPerBlock = () ->
current =
threadsPerBlock: input.threadsPerBlock
activeWarpsPerMultiprocessor: window.calculate(input).activeWarpsPerMultiprocessor
inp = _.clone input
r = []
for threadsPerBlock in [16..512] by 16
inp.threadsPerBlock = threadsPerBlock
r.push({
threadsPerBlock: threadsPerBlock
activeWarpsPerMultiprocessor: window.calculate(inp).activeWarpsPerMultiprocessor
})
return {
data: r
current: current
}
graphWarpOccupancyOfRegistersPerThread = () ->
current =
registersPerThread: input.registersPerThread
activeWarpsPerMultiprocessor: window.calculate(input).activeWarpsPerMultiprocessor
inp = _.clone input
r = []
for registersPerThread in [1..128]
inp.registersPerThread = registersPerThread
r.push({
registersPerThread: registersPerThread
activeWarpsPerMultiprocessor: window.calculate(inp).activeWarpsPerMultiprocessor
})
return {
data: r
current: current
}
graphWarpOccupancyOfSharedMemoryPerBlock = () ->
current =
sharedMemoryPerBlock: input.sharedMemoryPerBlock
activeWarpsPerMultiprocessor: window.calculate(input).activeWarpsPerMultiprocessor
inp = _.clone input
r = []
for sharedMemoryPerBlock in [512..512*100] by 512
inp.sharedMemoryPerBlock = sharedMemoryPerBlock
r.push({
sharedMemoryPerBlock: sharedMemoryPerBlock
activeWarpsPerMultiprocessor: window.calculate(inp).activeWarpsPerMultiprocessor
})
return {
data: r
current: current
}
output =
graphWarpOccupancyOfThreadsPerBlock: graphWarpOccupancyOfThreadsPerBlock()
graphWarpOccupancyOfRegistersPerThread: graphWarpOccupancyOfRegistersPerThread()
graphWarpOccupancyOfSharedMemoryPerBlock: graphWarpOccupancyOfSharedMemoryPerBlock()