A systematic literature review of the application of user experience studies in cyberinfrastructure for scientific research
KP Singh - Quality and User Experience, 2024 - Springer
Good usability and user-friendliness of cyberinfrastructure tools and technologies are crucial
for increasing their usage and broader adoption in scientific communities. However, there is …
for increasing their usage and broader adoption in scientific communities. However, there is …
Cracking AlphaFold2: Leveraging the power of artificial intelligence in undergraduate biochemistry curriculums
DJ Boland, NM Ayres - PLOS Computational Biology, 2024 - journals.plos.org
AlphaFold2 is an Artificial Intelligence-based program developed to predict the 3D structure
of proteins given only their amino acid sequence at atomic resolution. Due to the accuracy …
of proteins given only their amino acid sequence at atomic resolution. Due to the accuracy …
Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations
Abstract Intelligence Processing Units (IPU) have proven useful for many AI applications. In
this paper, we evaluate them within the emerging field of AI for simulation, where traditional …
this paper, we evaluate them within the emerging field of AI for simulation, where traditional …
Performance of Distributed Deep Learning Workloads on a Composable Cyberinfrastructure
Z He, A Saluja, R Lawrence, D Chakravorty… - … and Experience in …, 2023 - dl.acm.org
The next generation of computing systems are likely to rely on disaggregated resources that
can be dynamically reconfigured and customized for researchers to support scientific and …
can be dynamically reconfigured and customized for researchers to support scientific and …
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Lossy compression has become an important technique to reduce data size in many
domains. This type of compression is especially valuable for large-scale scientific data …
domains. This type of compression is especially valuable for large-scale scientific data …
Development of a Training Framework for Novel Accelerators
In recent years, accelerators such as Graphics Processing Units (GPUs), Field
Programmable Gate Arrays (FPGAs), and Intelligence Processing Units (IPUs) have played …
Programmable Gate Arrays (FPGAs), and Intelligence Processing Units (IPUs) have played …
Developing Synthetic Applications Benchmarks on Composable Cyberinfrastructure: A Study of Scaling Molecular Dynamics Applications on GPUs
RE Lawrence, DK Chakravorty, Z He, F Dang… - … and Experience in …, 2023 - dl.acm.org
The potential for infinite scaling, improved performance, and better sharing of computing
resources motivates researchers to adapt to composable infrastructures. Measuring …
resources motivates researchers to adapt to composable infrastructures. Measuring …
Porting AI/ML Models to Intelligence Processing Units (IPUs)
Intelligence processing units (IPUs) are specifically designed accelerators that are
dedicated to support artificial intelligence (AI) and machine learning (ML) workflows. Here …
dedicated to support artificial intelligence (AI) and machine learning (ML) workflows. Here …
Insight gained from migrating a machine learning model to intelligence processing units
The discoveries in this paper show that Intelligence Processing Units (IPUs) offer a viable
accelerator alternative to GPUs for machine learning (ML) applications within the fields of …
accelerator alternative to GPUs for machine learning (ML) applications within the fields of …
On Performance Analysis of Graphcore IPUs: Analyzing Squared and Skewed Matrix Multiplication
S Shekofteh, C Alles, N Kochendörfer… - arXiv preprint arXiv …, 2023 - arxiv.org
In recent decades, High Performance Computing (HPC) has undergone significant
enhancements, particularly in the realm of hardware platforms, aimed at delivering …
enhancements, particularly in the realm of hardware platforms, aimed at delivering …