Techniques for high performance computational steering
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virtual
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Also attended R-CCS Symposium in Kobe; traveled with several people including Gina and Prasanna
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Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Novel implementation of MPI that supports statistical message sampling for performance analysis
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Lightweight scalable MPI profiling tool
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Tool for verifying the correctness of MPI applications dynamically at runtime
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Annotation and runtime toolkit for explicit assertion of performance expectations in HEC applications
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Tool for application performance modeling and characterization
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Scalable HeterOgeneous Computing Benchmark Suite
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Open Accelerator Research Compiler
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3D design-space exploration tool for SRAM eDRAM and non-volatile memory
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OpenACC frontend implementation for Clang/LLVM
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OpenACC frontend implementation for (new) Flang/LLVM - upstreamed to LLVM
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Parallel Aggregate Persistent Storage
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Rapid exploration of the design space of heterogeneous memory systems
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Intelligent Runtime Systems for Heterogeneous Computing
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OpenACC backend for Kokkos - now integrated into Kokkos
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Performance portable layer for Julia - CPU, GPUs, etc
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ChatHPC is a toolchain for using and training AI models for HPC programming paradigms
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Benchmarks for heterogeneous computing written with CUDA, HIP, SYCL/DPC++, and OpenMP-4.5 target offloading for studying performance, portability, and productivity.