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CS294-6 Reconfigurable Computing Day 9 September 22, 1998 Project Startup: Mediabench With annotations from class discussion
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Today Project –Goals –Tuning (get feedback from class) –Benchmark set –…more architecture/compute model context
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Pedagogical Goal Give students an appreciation for tradeoffs designing “post-fabrication” programmable computing devices –focus on spatial architectures benefits design
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Ideal Design computing array for benchmark set and quantify benefits
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Ideal Design computing array for benchmark set and quantify benefits –too much for one class?
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Pragmatic How do we get most of the pedagogical value within the scope of this class?
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High level things want to see Where spatial computing better than processor? –Worse? How optimize a design for spatial execution? –What’s different about? How tune/optimize spatial architecture?
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Can’t “Do it All” Pick focussed pieces
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What do you want? What are your most burning, unanswered questions in this area? –What should we try to answer? –What would you like to learn?
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Burning Questions Real numbers for compute array versus processor –larger than Day 5 examples –computational density –energy/op How exploit real-time reconfiguration –swapping efficiently –spatio/temporal tradeoffs –virtualization (decompose, run-time manage)
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Burning Questions Design memory for embedding with array –size distribution memory hierarchy –interconnect to –interfacing physical control
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Burning Questions Good automatic compilation possible? –How describe ease mapping ease user job Costs and overheads to –upgradability –portability
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Burning Questions What’s wrong w/ fixed length (processor) word model? –Architecturally –description –work knowledge of data size req. into specification –annotations requested by compiler?
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Burning Questions How should P FPGA talk to each other –change ISA? –How does presence of RC change workload (requirements) for processor? Beneficial use RC as GP platform? –How attack? Computational model?
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Burning Questions Homogenous/Heterogeneous architecture? Generation n+1 mainstream processor? Minimum array size to be useful? –Embedded cost sensitivity –general: benefit vs. array size
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Burning Questions Applications –make new things viable which are not viable today? ? Anything other than putting 10x 100x computation in affordable package? –Building a better mousetrap isn’t enough? Lag to exploit technology? Low on innovation side?
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Burning Questions System-on-a-chip designs? –Design complexity (up) –IP –…surely do something innovative with (?) –place for spatial building blocks
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AMD (Benefit) Where beneficial? –(expand day 5 comparisons) Power implications –Spatial have benefit? –When/where?
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AMD (How Use) Area Time tradeoffs –What look like? –How achieve? –Importance? Specialization –What opportunities exist? –Importance of exploiting? –How exploit?
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AMD (How Use) How do we build programs? Including: –Convenience? –Abstraction? –Application longevity? –Virtualization
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AMD (Architecture) How compute (media apps) requirements differ from random logic? –Interconnect less? More stylized? –Retiming depth, heirarchy?
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Original Plan mediabench kernels start with HSRA architecture and tools series of weekly projects –(to be tuned based on student feedback and areas of interest) final writeup
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Original Plan: Exercises Analyze sequential implementation Build spatial (HSRA) implementation –compare yielded density w/ sequential Model power –compare spatial/sequential
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Original Plan: Exercises Interconnect –c,p for application –“right” amount of interconnect –non-Rent structure in application interconnect? –Quality of hand autoplacement ? –??? Heirarchical vs mesh style ???
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Original Plan Retiming –depth distribution –hierarchy when use memories, what sizes? –?? Output vs. input ??
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Original Plan: Exercises Specialization –opportunities in your application –binding times –benefits Programming –How fit into stream model of full computation? –Scheduling/virtualization?
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Benchmark Set No need to hype multimedia as computational driver? See many “band-aids” on conventional architectures to handle –MMX, VIS Desire for “programmable” solutions –multi/evolving standards –one device does it all
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Benchmarks Audio –adpcm –g.721 –gsm Still Image –epic –JPEG Video –MPEG-2 Encryption –pegwit –pgp Rendering –mesa –ghostscript(?) Speech Recognition –rasta
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Hypothesis Spatial processing a better solution than “tweaking” ISAs –broader applicability –greater computational density –lower power Special-Purpose processing units brittle –e.g. FIR
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FIR and MMX …but you saw on SPACE2/CYCLE that not everything works this well (at least easily).
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DCT and MMX? Claim from processor crowd that FPGA version only 2x better than MMX? –AMD skeptical
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Project Goals Learn about architectural design –pedagogy build intuition on key characteristics of arch. how attack architectural design –expand what is known (research) What’s good where? Why? Application characteristics? How tune architectures?
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