~/conference

CHIUW 2019

date:2019-06-22
location:Phoenix, United States
series:CHIUW · one edition

Chapel developers, HPC application developers, language runtime engineers, GPU programmers, scientific computing researchers, data scientists, performance engineers

GPU forall offload; hybrid CPU GPU partitioning; Chapel runtime optimizations; non-blocking task spawn; libfabric networking backend; Chapel to C/Python/Fortran interop; hypergraph-backed graph library; Chapel Aggregation Library (CAL); Arkouda interactive array server; config-file orchestration and transpilation; generated C headers and ZeroMQ multi-locale libraries; LLVM backend and Mason package improvements

titleauthorlength
GPUIterator: Bridging the Gap between Chapel and GPU PlatformsAkihiro Hayashi, Sri Raj Paul, Vivek Sarkar29m
A Chapel module called GPUIterator module implements a portable interface to run Chapel forall loops on GPUs (CUDA and OpenCL), accept distributed domains…
Talk
Programming Abstractions for Orchestration of HPC Scientific ComputingAnshu Dubey01h 01m
Claim: an orchestration layer built from unit-level metadata lets a legacy 1.5M‑line Fortran codebase be reconfigured and partially transpiled to target…
Talk on
State of the Chapel ProjectBenjamin Robbins, Brad Chamberlain21m
Overview of progress since 2013: a doubled team finishes a five-year engineering push and launches a three-year follow-up to 2021 focused on stabilizing the…
Talk
Chapel Unblocked: Recent Communication Optimizations in ChapelElliot Ronaghan, Ben Harshbarger, Gregory Titus, Michael Ferguson27m
Compiler and runtime work converts blocking network calls into faster paths and yields concrete wins: switching GASNet transfers >=4KB to its block-transfer…
Talk on
Chapel Graph Library (CGL)Louis Jenkins, Marcin Zalewski24m
The project presents a hypergraph-backed graph library built on Chapel that exposes a global-view API and implements graphs (bipartite, directed, undirected…
Talk
Calling Chapel Code: Interoperability ImprovementsLydia Duncan, David Iten24m
Chapel now generates language bindings and build artifacts so Chapel routines compile as libraries callable from C, Python and Fortran, producing generated C…
Talk
Arkouda: Interactive Data Exploration Backed by ChapelMichael Merrill, William Reus, Timothy Neumann21m
Prototype arkouda lets Python notebooks issue massively parallel array operations via a Chapel server, using 0MQ for messaging and a NumPy-like API so users…
Talk on
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