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-  Future data center architecture design / Flow-centric computing�

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•  CMOS(scaling(is(ending(and(“Free(lunch(is(over”(

–  CPU(performance,(amount(of(memory(

The(Post5Moore(Era(

Home (/) >  Statistics (/statistics/) >  Performance Development

PERFORMANCE DEVELOPMENT

Exponential growth of supercomputing power as recorded by the TOP500 list.

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

Performance Development

Sum #1 #500

1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014100 MFlop/s

1 GFlop/s

10 GFlop/s

100 GFlop/s

1 TFlop/s

10 TFlop/s

100 TFlop/s

1 PFlop/s

10 PFlop/s

100 PFlop/s

1 EFlop/s

10 EFlop/s

Lists

Performance

TOP500(Performance(Development(

Perform

ance(

source:(hXp://top500.org/(

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a(clean(slate(architecture(is(required.(

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–  Integra@on(and(u@liza@on(of(heterogeneous(task(specific(processing(units(in(a(system(is(the(key.(

Source:(Fig.3(of(“MoreGthanGMoore(

White(Paper,”(ITRS(white(paper,(2010�

Data(Movement(Issue(

•  Data(movement(is(the(boXleneck(to(

performance(

– Memory(wall,(Interconnect(wall,(and(Power(wall(

–  E.g.,(K(computer([Byte/FLOP]:(

• Memory:(0.5(

•  Interconnect:(0.15625(

•  Current(solu@on:(Data(affinity(processing((DAP)(

Data(Affinity(Processing((DAP)�

•  Avoid(moving(data,(do(processing(at(the(place(data(are.(

–  Cost(of(moving(data(has(been(higher(than(running(different(

algorithms/programs(on(a(processor(

–  Assumes(versa@le(processors(that(can(perform(mul@ple(

func@ons.(Some@mes,(a(square(peg(in(a(round(hole.(

•  S@ll,(some(communica@ons(among(processors(are(

required(if(there(are(mul@ple(processors.(

•  For(larger(data(sets,(amount(of(memory(deployable(

near(a(processor(limits(the(effec@veness(of(DAP.(

•  DAP(is(not(suitable(for(processing(of(streaming(data.(

*

Revolu:onary(high(speed(communica:on(

will(change(the(scenario�

If(data(moving(cost(is(lower((data(can(be(moved(

in(a(short(@me(with(low(energy(consump@on):(

–  Can(move(data(to(processing(units(appropriate(for(

performing(required(process.(

–  Can(u@lize(heterogeneous(processing(units(–  Can(virtually(increase(the(amount(of(memory.(

Data(on(a(memory(near(a(processor(can(be(

swapped(faster(than(the(data(are(processed(by(

the(processor.((

�

Our(Approach�

Combine(fineGgrained(task(specific(processors(in(

a(pipeline(manner,(instead(of(general(purpose(

CPUs(with(large(memory(

(a)(general(purpose(CPU( (b)(heterogeneous(task(specific(

processors(

input(

data(

output(

data(

C 3 BA1AA 1A1

C 1A1 A3 BA1A

Expecta:ons(for(Op:cal(Networks(

•  Such(a(pipeline(requires(huge(bandwidth(between(processors(

•  Expecta@ons(for(op@cal(network(–  Interconnect(over(DWDM(

– Direct(op@cal(I/O(connec@on(to(memory(

memory( memory(

Interconnect(

over(DWDM(

Direct(op@cal(I/O(

connec@on(to(memory(

Flow5centric(Compu:ng(

•  Disaggregate(server(components(

•  Reassemble(a(slice(based(on(a(data(flow(

–  Slice(is(a(“virtual”(server(consists(of(processors(and(SCM(

connected(through(an(op@cal(path(network((all(op@cal(

path(between(endGtoGend)(

Real-time Big data� Optical Network�

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Storage class memory�

GPU GPU GPU FPGA FPGA

Flow5centric(Compu:ng(

•  To(take(advantage(of(op@cal(path(network,((a(totally(new(data(center(OS(is(essen@al(

•  Flow(OS(is(the(control(plane(of(a(data(center(

Real-time Big data�

Op#mal'flow'planning''and'slice'provisioning�

Optical Network�

Storage class memory�

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GPU GPU GPU FPGA FPGA

Resource'management'/''Monitoring�

Hardware(Image(

Switch� DPC(

(CPU)�DPC(

(GPU)�DPC(

(FPGA)�

SCM(

PU� MEM� PU� MEM�

PU� MEM� PU� MEM�

PU� MEM� PU� MEM�

PU� MEM� PU� MEM�

•  ProcessorGmemory(embedded(

package(with(WDM(

interconnects(

•  Direct(op@cal(I/O(connec@ons(to(memory(modules(

distributed(on(a(chip(

(

Communica@on(

over(DWDM(

Op:cal(Network(in(DCs�

•  New(data(center(architecture(with(a(similar(

concept(have(been(proposed:(

“disaggrega:on”,(and(“data(center(in(a(box”.(

•  Op:cal(network(is(key(to(drive(innova@on(in(future(data(centers.(

UC Berkeley

1 Terabit/sec optical fibers FireBox Overview!

High Radix Switches

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SoC

SoC

SoC

SoC

SoC

SoC SoC SoC

SoC

SoC

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SoC

Up to 1000 SoCs + High-BW Mem

(100,000 core total)

NVM

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NVM NVM NVM

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Up to 1000 NonVolatile Memory Modules (100PB total)

InterXBox&Network&

Many&Short&Paths&Thru&HighXRadix&Switches&

38 A 5 EIA

Summary�

•  Op:cal(network(can(change(the(game(in(the(

post(Moore(era.(

• We(have(proposed(flow5centric(compu:ng,((

a(disaggregated(data(center(architecture(

focusing(on(data(flows.(

–  Data(processing(with(heterogeneous(integra@on(of(special(purpose(processors(communica@ng(through(a(huge(

bandwidth(op@cal(network(