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LOCATION:D161
DTSTART;TZID=America/Chicago:20181111T090000
DTEND;TZID=America/Chicago:20181111T173000
UID:submissions.supercomputing.org_SC18_sess156@linklings.com
SUMMARY:The 3rd International Workshop on Post-Moore Era Supercomputing (P
 MES)
DESCRIPTION:Workshop\nArchitectures, Heterogeneous Systems, Quantum Comput
 ing, Workshop Reg Pass\n\nIntroduction - The 3rd International Workshop on
  Post-Moore Era Supercomputing (PMES)\n\nVetter, Matsuoka\n\nThe 3rd Inter
 national Workshop on Post Moore's Era Supercomputing (PMES) follows the ve
 ry successful PMES workshops at SC16 and SC17. This interdisciplinary work
 shop is organized to explore the scientific issues, challenges, and opport
 unities for supercomputing beyond the scaling limits of Moore's L...\n\n--
 -------------------\nSpeaker Panel 1\n\n\n\n---------------------\nWorksho
 p Closing\n\n\n\n---------------------\nSpeaker Panel 2\n\n\n\n-----------
 ----------\nComparing Deep Learning with Quantum Inference on The D-Wave 2
 X\n\nNguyen, Kenyon\n\nWe used a quantum annealing D-Wave 2X computer to o
 btain solutions to NP-hard sparse coding problems for inferring representa
 tion of reduced dimensional MNIST images.   For comparison, we implemented
  two deep neural network architectures.   The first (AlexNet-like) approxi
 mately matched the architec...\n\n---------------------\nDoing Moore with 
 Less – Leapfrogging Moore’s Law with Inexactness for Supercomputing\n\nLey
 ffer, Wild, Fagan, Snir, Palem...\n\nWe investigate the use of inexactness
 , to trade solution quality with energy savings to reduce power consumptio
 n in HPC systems, using commercial off-the-shelf processors for lower-prec
 ision arithmetic. We implement an inexact Newton algorithm for solving non
 linear equations to show how to reinvest ...\n\n---------------------\nWor
 kshop Morning Break\n\n\n\n---------------------\nCommunity Detection Acro
 ss Emerging Quantum Architectures\n\nShaydulin, Ushijima-Mwesigwa, Safro, 
 Mniszewski, Alexeev\n\nOne of the roadmap plans for quantum computers is a
 n integration within HPC ecosystems assigning them a role of accelerators 
 for a variety of computationally hard tasks. However, in the near term, qu
 antum hardware will be in a constant state of change. Heading towards solv
 ing real-world problems, we...\n\n---------------------\nWorkshop Lunch (o
 n your own)\n\n\n\n---------------------\nWorkshop Afternoon Break\n\n\n\n
 ---------------------\nA Task-Based Abstraction Layer for User Productivit
 y and Performance Portability in Post-Moore’s Era Supercomputing\n\nPetruz
 za, Gyulassy, Pascucci, Bremer\n\nThe proliferation of heterogeneous compu
 ting architectures in current and future supercomputing systems dramatical
 ly increases the complexity of software development and exacerbates the di
 vergence of software stacks. Currently, task-based runtimes attempt to all
 eviate these impediments, however thei...\n\n---------------------\nMemory
 -Efficient Quantum Circuit Simulation by Using Lossy Data Compression\n\nW
 u, Di, Cappello, Finkel, Alexeev...\n\nIn order to evaluate, validate, and
  refine the design of new quantum algorithms or quantum computers, researc
 hers and developers need methods to assess their correctness and fidelity.
  This requires the capabilities of quantum circuit simulations. However, t
 he number of quantum state amplitudes incre...\n\n---------------------\nH
 ybrid Quantum-Classical Computing Architectures\n\nSuchara, Alexeev, Chong
 , Finkel, Hoffmann...\n\nWe describe how classical supercomputing can aid 
 unreliable quantum processors of intermediate size to solve large problem 
 instances reliably. We advocate using a hybrid quantum-classical architect
 ure where larger quantum circuits are broken into smaller sub-circuits tha
 t are evaluated separately, e...\n\n---------------------\nStochastic Comp
 uting on Quantum Gates\n\nKanamori\n\nThe concept of Stochastic Computing 
 is applied to Quantum Computing. A qubit in a superposition state is used 
 to represent a probability as an input for Stochastic Computation, instead
  of a random bit stream. Measuring the output qubit from the quantum circu
 it produces zero or one with the probabili...\n\n---------------------\nDo
 main-Specific System on Chips (DSSoC)\n\nRondeau\n\nThe invention of the d
 igital computer came about as a proof of computable numbers, and so numeri
 cal processing was solved by the Turing Machine that has led to the genera
 l purpose computer. These computers are good at solving multiple types of 
 problems with a single machine. However, within the scop...\n\n-----------
 ----------\nTranquility Amidst Turbulence: A Vision for Advancing Scientif
 ic Discovery in the Era of Extreme Heterogeneity\n\nNowell\n\nRapid change
 s in computing technology are driving ever-faster changes in the way scien
 tific discoveries are made. Dr. Lucy Nowell will discuss the dimensions of
  heterogeneity that are expected to impact the software stack for computat
 ional and data-intensive in the 2025-2035 timeframe. In particular...\n\n-
 --------------------\nShortest Path and Neighborhood Subgraph Extraction o
 n a Spiking Memristive Neuromorphic Implementation\n\nSchuman, Hamilton, M
 intz, Adnan, Ku...\n\nSpiking neuromorphic computers (SNCs) are promising 
 as a post Moore's law technology because of their potential for very low p
 ower computation.  SNCs have primarily been demonstrated on machine learni
 ng applications, but they can also be used for applications beyond machine
  learning.  Here, we demon...\n\n---------------------\nNon-Neural Network
  Applications for Spiking Neuromorphic Hardware\n\nAimone, Hamilton, Mnisz
 ewski, Reeder, Schuman...\n\nIncreasing power costs for large-scale comput
 ing in a post-Moore’s Law system have forced the high-performance computin
 g community to explore heterogeneous systems.  Neuromorphic architectures,
  inspired by biological neural systems, have so far been relegated to auxi
 liary machine learning applicatio...\n
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