Featured Publication Summaries

ECP-funded research develops solutions for additive manufacturing simulation needs

Exascale Computing Project (ECP)–funded researchers have demonstrated a massively parallel, scalable system for simulating physical behaviors of materials undergoing complex topological changes, collisions, and large deformations using multi-GPU supercomputers such as Summit at Oak Ridge National Laboratory.

ECP-funded team investigates NVM techniques to improve data storage and performance speed

A team of researchers funded by the Exascale Computing Project demonstrated the efficacy of combining DRAM and high-density, byte-addressable nonvolatile memory (NVM) for accelerating high-performance computing (HPC) and enabling large problems at reasonable performance beyond the capabilities of DRAM and NVM alone.

ECP-funded research advances plasma accelerator modeling

Scientists funded by the Exascale Computing Project (ECP) have developed WarpX, a modern, performance-portable Particle-in-Cell code that describes the relativistic physics of charged plasma particles for accelerator and laser–plasma physics.

Technical Highlights

The ECP SuperLU Library Speeds the Direct Solution of Large Sparse Linear Systems on HPC and Exascale Hardware

The SuperLU team has been developing new parallelization strategies that run faster on new accelerated systems, such as those based on GPUs

ECP Provides TAU, a CPU/GPU/MPI Profiler, for All HPC and Exascale Machines

Programmers cannot blindly guess which sections of their code might bottleneck performance. This problem is worsened when codes run across the variety of hardware platforms supported by the Exascale Computing Project (ECP).

HeFFTe – a widely applicable, CPU/GPU, scalable multidimensional FFT that can even support exascale supercomputers

HeFFTe (highly efficient FFTs for Exascale, pronounced “hefty”) enables multinode and GPU-based multidimensional fast Fourier transform (FFT) capabilities in single- and double-precision.

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