Merge pull request #332 from jeanbez/main

add new projects for OSPO24

content/authors/jeanlucabez/_index.md

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+---
+# Display name
+title: Jean Luca Bez
+
+# Username (this should match the folder name)
+authors:
+- jeanlucabez
+
+# Is this the primary user of the site?
+superuser: false
+
+# Role/position
+role: "Research Scientist, Lawrence Berkeley National Laboratory"
+
+
+# Organizations/Affiliations
+organizations:
+- name: Scientific Data Management Research
+  url: "https://crd.lbl.gov/divisions/scidata/sdm"
+- name: Computing Sciences Research Division
+  url: "https://crd.lbl.gov"
+- name: Lawrence Berkeley National Laboratory
+  url: "https://www.lbl.gov"
+
+
+# Short bio (displayed in user profile at end of posts)
+bio: Jean Luca's research interests are in high-performance computing + I/O + storage. 
+
+
+
+# Social/Academic Networking
+# For available icons, see: https://sourcethemes.com/academic/docs/widgets/#icons
+#   For an email link, use "fas" icon pack, "envelope" icon, and a link in the
+#   form "mailto:[email protected]" or "#contact" for contact widget.
+social:
+- icon: home
+  icon_pack: fas
+  link: https://crd.lbl.gov/divisions/scidata/sdm/staff/jean-luca-bez/
+- icon: github
+  icon_pack: fas
+  link: https://github.com/jeanbez
+- icon: envelope
+  icon_pack: fas
+  link: mailto:[email protected]
+- icon: linkedin
+  icon_pack: fab
+  link: https://www.linkedin.com/in/jeanbez
+
+
+# Enter email to display Gravatar (if Gravatar enabled in Config)
+email: "[email protected]"
+
+
+# Organizational groups that you belong to (for People widget)
+#   Set this to `[]` or comment out if you are not using People widget.
+user_groups:
+- University of California Mentors
+---
+Jean Luca is a Career-Track Research Scientist at Lawrence Berkeley National Laboratory (LBNL), USA. He is passionate about High-Performance I/O, Parallel I/O, Education, and Competitive Programming. His research focuses on optimizing the I/O performance of scientific applications and data management.

content/project/osre24/lbl/drishti/index.md

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+---
+title: "Dristhi"
+authors: [jeanlucabez, "Suren Byna"]
+author_notes: ["Research Scientist, Lawrence Berkeley Lab", " The Ohio State University (OSU)"]
+tags: ["osre24", "uc", "LBNL", "data science", "visualization", "performance analysis"]
+date: 2024-01-30T10:15:00-07:00
+lastmod: 2024-01-30T10:15:00-07:00
+---
+
+[Drishti](https://github.com/hpc-io/drishti) is a novel interactive web-based analysis framework to visualize I/O traces, highlight bottlenecks, and help understand the I/O behavior of scientific applications. Drishti aims to fill the gap between the trace collection, analysis, and tuning phases. The framework contains an interactive I/O trace analysis component for end-users to visually inspect their applications' I/O behavior, focusing on areas of interest and getting a clear picture of common root causes of I/O performance bottlenecks. Based on the automatic detection of I/O performance bottlenecks, our framework maps numerous common and well-known bottlenecks and their solution recommendations that can be implemented by users.
+
+### Dristhi / Server-side Visualization Service
+
+The proposed work will include investigating and building server-side solutions to support the visualization of larger I/O traces and logs, while integrating with the existing analysis, reports, and recommendations. 
+
+- **Topics:** `I/O` `HPC` `visualization`, `performance analysis`
+- **Skills:** Python, HTML/CSS, JavaScript
+- **Difficulty:** Moderate
+- **Size:** Large (350 hours)
+- **Mentors:** {{% mention jeanlucabez %}} and [Suren Byna](mailto:[email protected])
+
+### Dristhi / Visualization and Analysis of AI-based Applications
+
+Drishti to handle metrics from non-MPI applications, specifically, AI/ML codes and applications. This work entails adapting the existing framework, heuristics, and recommendations to support metrics collected from AI/ML workloads.
+
+- **Topics:** `I/O` `HPC` `AI` `visualization`, `performance analysis`
+- **Skills:** Python, AI, performance profiling
+- **Difficulty:** Moderate
+- **Size:** Large (350 hours)
+- **Mentors:** {{% mention jeanlucabez %}} and [Suren Byna](mailto:[email protected])

content/project/osre24/lbl/h5bench/index.md

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+---
+title: "h5bench"
+authors: [jeanlucabez, "Suren Byna"]
+author_notes: ["Research Scientist, Lawrence Berkeley Lab", " The Ohio State University (OSU)"]
+tags: ["osre24", "uc", "LBNL", "data science", "benchmarking", "compression"]
+date: 2024-01-30T10:15:00-07:00
+lastmod: 2024-01-30T10:15:00-07:00
+---
+
+[h5bench](https://github.com/hpc-io/h5bench) is a suite of parallel I/O benchmarks or kernels representing I/O patterns that are commonly used in HDF5 applications on high performance computing systems. h5bench measures I/O performance from various aspects, including the I/O overhead, and observed I/O rate. 
+
+Parallel I/O is a critical technique for moving data between compute and storage subsystems of supercomputers. With massive amounts of data produced or consumed by compute nodes, high-performant parallel I/O is essential. I/O benchmarks play an important role in this process; however, there is a scarcity of I/O benchmarks representative of current workloads on HPC systems. Toward creating representative I/O kernels from real-world applications, we have created h5bench, a set of I/O kernels that exercise HDF5 I/O on parallel file systems in numerous dimensions. Our focus on HDF5 is due to the parallel I/O library's heavy usage in various scientific applications running on supercomputing systems. The various tests benchmarked in the h5bench suite include I/O operations (read and write), data locality (arrays of basic data types and arrays of structures), array dimensionality (1D arrays, 2D meshes, 3D cubes), I/O modes (synchronous and asynchronous). h5bench measurements can be used to identify performance bottlenecks and their root causes and evaluate I/O optimizations. As the I/O patterns of h5bench are diverse and capture the I/O behaviors of various HPC applications, this study will be helpful to the broader supercomputing and I/O community.
+
+### h5bench / Reporting and Enhancing
+
+The proposed work will include standardizing and enhancing the reports generated by the suite, and integrate additional I/O kernels (e.g., HACC-IO).
+
+- **Topics:** `I/O` `HPC` `benchmarking`
+- **Skills:** Python, C/C++, good communicator
+- **Difficulty:** Moderate
+- **Size:** Large (350 hours)
+- **Mentors:** {{% mention jeanlucabez %}} and [Suren Byna](mailto:[email protected])
+
+### h5bench / Compression
+
+The proposed work will focus on including compression capabilities into the h5bench core access patterns through HDF5 filters.
+
+- **Topics:** `I/O` `HPC` `benchmarking`, `compression`
+- **Skills:** C/C++, Python, HDF5
+- **Difficulty:** Moderate
+- **Size:** Large (350 hours)
+- **Mentors:** {{% mention jeanlucabez %}} and [Suren Byna](mailto:[email protected])