Congressos: Recent submissions
Now showing items 141-160 of 11156
SORS: mechanisms and predictability of the 2023 record increase in global temperature
Global mean temperature rapidly warmed during 2023, leading to the warmest year on record at 1.45°C above pre-industrial climate, the causes of which are still under debate. Here we explore the likelihood, mechanisms, and ...
SORS: enhancing FAIRness in Harvard dataverse with variable-level metadata and differential privacy
We highlight recent advances in the Dataverse Project aimed at extending support for variable-level metadata beyond tabular data, incorporating DDI, CDI-DDI, CroissantML, and other schemas to enhance discoverability and ...
Ravanan a high performance common workflow language implementation
We will describe ccwl and ravanan---Common Workflow Language (CWL) tools we have developed---that allow running scientific workflows on HPC clusters with concision, reproducibility and performance. ravanan uses propagator ...
Augmented ecofeminisms: climate, water, women
This talk reviews the history of supercomputing systems with a focus on the "balance" between computation and memory access and on the interaction of technology, architecture, and market forces in driving the evolution of ...
SORS/womeninBSC: alphaFold predicted structures expand our understanding of functional ivergence in protein families
The recent development of the AlphaFold2 method by DeepMind, has led to a massive expansion in high quality predicted protein structure data. Our group have developed computational protocols (Chainsaw, CATH-AlphaFlow) to ...
SORS: genomics workloads for the future (now)
In this talk, Pjotr and Arun will talk about pangenomic challenges and scaling up with HPC. Genomics workloads have always been announced and fail to make a dent on compute clusters. We predict this may now change with the ...
SORS: language and genetics
Research of biology and genomics inspired from linguis7cs is a dangerous territory, for several reasons. Once these are iden7fied, we can then dis7ll the shared concerns and common features between linguis7cs and gene7cs. ...
SORS: freshwater salinization: a global challenge in need of data science solutions
All around the world humans are increasing the salt concentrations of freshwater ecosystems (rivers, lakes, wetlands, etc.) through a wide variety of activities such as agriculture or resource extraction. This phenomenon, ...
Earthquakes with partial stress drop and their implications for seismic risk
Systemic blackouts have increased due to extreme weather events and supply shortages, leading to a prominent example of demand rationing. Exploiting features of smart meters, we propose a partial rationing policy for ...
LOCA SERIES / reading club: software-only semantic diverse redundancy for high-integrity AI-based functionalities
Dual (DMR) and Triple Modular Redundancy (TMR), often with some form of diversity, are used in safety-critical systems to realize those functionalities at the highest integrity level providing fault detection and/or tolerance ...
SORS: achieving supercomputer performance (without superhuman effort)
One of the truisms of supercomputing is that promised (aka peak) performance always dwarfs realized performance. This gap has generally widened over time, most notably after the reemergence of ML/AI. To some degree, this ...
SORS: AI and simulation for antibody drug discovery
Following in the footsteps of computer vision and natural language processing, the use of deep learning in the fields of protein science and protein engineering is rapidly increasing. Antibodies, in particular, are not ...
SORS: how gene positioning shapes cell identity and oncogenesis
The spatial organization of genes within the genome offers insights into their evolutionary history and functional significance. In this talk, I will present our recent findings that essential younger genes cluster near older, ...
SORS: scalable methods for verifying autonomous cyber-physical systems
Digital Twins, a virtual representation of reality, have been effectively used successfully for a number of applications such as training, visualization, and collaboration. For the task of validation and verification (V&V), ...
XiangShan: an open-source project for high-performance RISC-V processors meeting industrial-grade standards
It is widely recognized that the open-source hardware ecosystem can reduce development costs and lower barrier to innovation. Within this ecosystem, developing an industrial-grade high-performance processor has thus far ...
Detection, attribution, and decadal prediction of climate change impact on health outcomes
Climate change impacts on health are increasingly apparent with regular exposure to intensive heat waves, surges and emergence of diseases, and mortality. Quantification of these impacts and tracing them to anthropogenic ...
LOCA Series: addressing challenges in core microarchitecture research
Core microarchitecture research is the study of how to implement an Instruction Set Architecture for a general-purpose processor. The field has been studied for decades, but remains crucial due to the evolving demands of ...
EuroHPC AI in DAPHNE
Cardiovascular disease (CVD) manifests and progresses differently in men and women, a phenomenon known as sex bias. Understanding the mechanisms underlying this sex bias is critical to the development of sex-specific ...
SORS: accurate predictions for high-performance processors
Prediction is a fundamental technique for designing high-performance computers. Prediction techniques are used nowadays for a large number of performance optimizations. This talk presents advanced mechanisms for (1) data ...
Cancer genomics to study the origin and evolution of pediatric tumors
Pediatric cancer is the leading cause of disease-related death in children in developed countries. However, compared to adult cancer, pediatric cancer is a rare disease. Pediatric tumors are different from their ...
