Nathan Russell Tallent

E-mail:	lastname at pnnl dot gov
Home Page:	https://nathantallent.github.io https://www.pnnl.gov/people/nathan-tallent (slow updates) [google scholar] [semantic scholar] [dblp] [orcid] [linkedin]
CV:	[cv] [resume]
Office:	CSF 1720
Telephone:	509.372.4206
Postal Address:	Pacific Northwest National Laboratory PO Box 999 MSIN: J4-30 Richland WA 99352
Delivery Address:	Pacific Northwest National Laboratory 902 Battelle Blvd MS-J4-30 Richland, WA 99354

Nathan Tallent is a chief computer scientist in the Future Computing Technologies Group within Advanced Computing, Mathematics, and Data Division. He joined PNNL in 2011.

General: Dr. Tallent is an internationally recognized expert in extreme performance. He understands all levels of performance, ranging from massively scalable computing to chip pipelines; all system components ranging from interconnects, storage, memory, and processors; and workloads ranging from AI/ML, data analytics/graphs, and HPC.

Bio: Dr. Tallent's research is motivated by emerging challenges in distributed systems, scientific workflows, machine learning, and data management. He leads activities in continuum computing and the Performance Lab for EXtreme Computing and daTa where his contributions have spanned the challenges of performance measurement, modeling, bottleneck diagnosis, and optimization; and includes special attention to bottlenecks in networks, storage, and memory. He has made notable contributions to performance tools, both for performance modeling and for parallel performance analysis. He has more than 70 peer-reviewed publications, serves on several reviewing committees, and received a DOE Early Career award. He is one of the original developers of HPCToolkit, a widely used suite of performance tools on supercomputers. He received a Ph.D. in 2010 from Rice University.

Software: Dr. Tallent has led development of several research software prototypes for distributed scientific workflows, distributed AI systems, and performance analysis and prediction.

• Distributed Workflows
• DataFlowDrs is a new comprehensive suite of tools (DataLife, DaYu, FastFlow, FlowForecaster) for performance optimization of scientific HPC workflows that especially focuses on data flow and storage.
  
• TAZeR, BigFlowSim: Remote I/O framework; and workflow I/O simulator-emulator and trace generator.
• AI Systems • Data Analytics
• MassiveGNN: Performant and productive training for massively connected (distributed) GNNs within the state-of-the-art Amazon DistDGL(distributed Deep Graph Library).
• SamIAm: Microstructure segmentation for transmission electron microscopy that recognizes geometric and textural features and that is based on semantic boosting of the Segment Anything Model (SAM).
• Hardware/Software Co-design • Application Performance Analysis
• MemGaze/MemFriend, a memory analysis toolset that combines high-resolution trace analysis and low overhead measurement, both with respect to time and space.
• OCEAN Emerging tool for CXL emulation (Open-source CXL Emulation at Hyperscale Architecture and Networking).
• Palm: Palm is a suite of performance modeling tools (Palm, Palm-Task, Representative-Paths, Palm/FastFootprints, MIAMI-NW) to assist performance analysis and predictive model generation.
• HPCToolkit: HPCToolkit is an integrated suite of tools for measurement and analysis of program performance on computers ranging from multicore desktop systems to GPU-accelerated supercomputers.
• Workload Benchmarking and Characterization
• SEAK Suite: The SEAK Suite is a collection of constraining problems for common embedded computing challenges.
• PERFECT Suite: The PERFECT Suite consists of kernels and applications for evaluating tradeoffs between performance, power, and architecture within the domains of radar and image processing.

He contributed to OpenAD (info), a tool for automatic differentiation (AD) of numerical computer programs.