To tackle the missing links between both Quantum Computing/Annealing (QC/QA) and High-Performance Computing (HPC), this article proposes revolutionary Quantum-Optimized Parallel Resource Compiler to bridge QA “working smart” optimization to accelerated HPC “working hard” number-crunching, with previous expertise in Adaptive Topology-aware Software/Hardware Mapping heuristics to auto-optimize complex HPC computation tweaking. The synergetic QA^HPC research will alleviate the major road blocks of both current limited QA/QC application scope and HPC’s snail path due to demanding 1000X resource increase from $M Peta to $B Exa scale. With our manual topology-aware tweaking to reduce HPC subnet allocation fragmentations, world’s largest/fastest CyberShake seismic wave propagation code of SDSC/SCEC increased 35% speedup to 81% efficiency (vs. 50%) for strong-scaling on 4K Cray XE6 nodes of NCSA Blue Waters cluster in 2013. QA/QC has the promise to completely swallow the complexity blurring the boundary of P/NP/NP-C complexity. The emerging adiabatic QA’s 2^2000 = ~10^600 combinations are well over the universe’s 10^80 atoms. Yet QA maker/users limit their applications foci to only 3 problem types (discrete combinatorics optimization, sampling, and machine learning), on merely few isolated example applications like cryptography, satellite camera scheduling, GPS map routing, etc. Aiming to harvest emerging QA advancement to enhance the current HPC establishment/investment, the feasibility for adopting QA to automate the HPC optimization, converging between computation algorithm Software and system Hardware match, is proposed to be explored for: QA-optimized compiler & code refactoring, automated parallel workload partitioning & thread coarsening, topology-aware parallel processor subnet allocation & scheduling, and target zooming of scenario/parameter/sample for science, technology, engineering & design. As QA taking over the manual tweaking/programming, HPC will become more efficient for both users and HPC data center providers with better speed/space/accuracy/performance/utilization with minimum effort/time/space/energy/cost in parallel resource allocation & programming. QA^HPC will be a game changer to make emerging QA progress immediately applicable for all existing HPC computations, providing faster/greener/better cures, solutions and prosperity for the world, with much reduced cost/time/space/energy toward sustainable green Exascale supercomputing and beyond.

QA^HPC: Toward quantum accelerated HPC via software/hardware resource mapping optimization

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.