32nd IPDPS 2018: Vancouver, BC, Canada - Workshops

HCW: Heterogeneity in Computing Workshop

Session 1: Reconfigurable and Cloud Systems

Session 2: Workload Scheduling and Architecture Analysis

RAW: Reconfigurable Architectures Workshop

Session 1: Platforms and Memory

Session 2: Applications

Session 3: Machine Learning 1

Session 4: Machine Learning 2

Session 5: Short Papers 1

Session 6: Short Papers 2

HiCOMB: High Performance Computational Biology

GABB: Graph Algorithms Building Blocks

Keynote Session

Session 1: Generating Graphs with Known Properties

Session 2: GraphBLAS Implementations

Session 3: Graph Building Blocks Community Meeting

EduPar: NSF/TCPP W. on Parallel and Distributed Computing Education

EduPar Session 1

EduPar Session 2

HIPS: High Level Programming Models and Supportive Environments

Session 1: Tool Support for Parallel Programming Environments

Session 2: Distributed Memory and Task-Based Programming

HPBDC: High-Performance Big Data, Deep Learning, and Cloud Computing

Regular Paper Session 1: High-Performance Data Processing Systems

Regular Paper Session 2: High-Performance Data Processing Applications

Short Paper Session 1: Data Processing on HPC and Cloud Environments

AsHES: Accelerators and Hybrid Exascale Systems

Session 1: Runtime Scheduling and Performance Analytics

Session 2: Algorithms and Applications

Session 3: Emerging Accelerator Architectures

PDCO: Parallel / Distributed Computing and Optimization

Session 1: Scheduling, Parallel Genetic Algorithms, Genetic Programming

Session 2: Parallel Distributed Computing Systems and Optimization, Applications

HPPAC: High-Performance, Power-Aware Computing

APDCM: Advances in Parallel and Distributed Computational Models

Session 1: Parallel Computing Models

Session 2: Concurrency Models

Session 3: Distributed Computing and Wireless Networks

ParLearning: Parallel and Distributed Computing for Large-Scale Machine Learning and Big Data Analytics