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NERO: A near high-bandwidth memory stencil accelerator for weather prediction modeling
Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …
Accelerating weather prediction using near-memory reconfigurable fabric
Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …
[HTML][HTML] JUNGFRAU detector for brighter x-ray sources: Solutions for IT and data science challenges in macromolecular crystallography
In this paper, we present a data workflow developed to operate the adJUstiNg Gain detector
FoR the Aramis User station (JUNGFRAU) adaptive gain charge integrating pixel-array …
FoR the Aramis User station (JUNGFRAU) adaptive gain charge integrating pixel-array …
LEAPER: Fast and accurate FPGA-based system performance prediction via transfer learning
Machine learning has recently gained traction as a way to overcome the slow accelerator
generation and implementation process on an FPGA. It can be used to build performance …
generation and implementation process on an FPGA. It can be used to build performance …
NARMADA: Near-memory horizontal diffusion accelerator for scalable stencil computations
Real-world weather forecasting applications consist of compound stencil kernels that do not
perform well on conventional architectures. This behavior is due to their complex data …
perform well on conventional architectures. This behavior is due to their complex data …
Low precision processing for high order stencil computations
Modern scientific workloads have demonstrated the inefficiency of using high precision
formats. Moving to a lower bit format or even to a different number system can provide …
formats. Moving to a lower bit format or even to a different number system can provide …
A system-level transprecision FPGA accelerator for BLSTM using on-chip memory resha**
The large amount of processing and storage of modern neural networks challenges
engineers to architect dedicated and tailored hardware with high energy efficiency. At the …
engineers to architect dedicated and tailored hardware with high energy efficiency. At the …
Designing, modeling, and optimizing data-intensive computing systems
G Singh - arxiv preprint arxiv:2208.08886, 2022 - arxiv.org
The cost of moving data between the memory units and the compute units is a major
contributor to the execution time and energy consumption of modern workloads in …
contributor to the execution time and energy consumption of modern workloads in …
[PDF][PDF] NERO: accelerating weather prediction using near-memory reconfigurable fabric
Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …
[PDF][PDF] Designing, Modeling, and Optimizing Data-Intensive Computing Systems
G Singh - 2021 - research.tue.nl
The cost of moving data between the memory units and the compute units is a major
contributor to the execution time and energy consumption of modern workloads in …
contributor to the execution time and energy consumption of modern workloads in …