.- SEER: An on-node Performance-Portable C++ Library for Heterogeneous Systems.
.- Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation.
.- Benchmarking Operators in Deep Neural Networks for Improving Performance Portability of SYCL.
.- COMPASS: A Combined Parallel Subscripted Subscript Benchmark Suite.
.- Tiling parameters prediction using Machine Learning techniques.
.- Efficiently Exploiting Irregular Parallelism Using Keys at Scale.
.- Automatic Deep Learning Parallelization for Vector Multicore Chips with the OSCAR Parallelizing and the TVM Open-Source Deep Learning Compiler.
.- A Parallel Hybrid Genetic Search for the Capacitated VRP with Pickup and Delivery.
.- Performance-Portable Tensor Transpositions in MLIR.
.- Quantum Circuit Resizing via Serial Execution.
.- Generating memory allocators from the ground up.
.- A Multiple Compiler Framework for Improved Performance.
.- PEAK: Generating High-Performance Schedules in MLIR.
.- Answer-set programming — An Introduction Based on Sudoku and (Thomas G.) Room Arrangements.