marktechpost

Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
GitHub

COO to CSR Sparse Matrix Converter on FPGA

python main.py # modify benchmarklist.csv if necessary. COO and CSR data are stored in coo_data/ and csr_data/, respectively. make sim_start # Run simulation (default: ./sim_coo2csr) Output waveforms ...
IEEE

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Abstract: Sparse matrix vector multiplication (SpMV) is an important linear algebra primitive. Recent research has focused on improving the performance of SpMV on GPUs when using compressed sparse row ...
GitHub

An MPI+OpenMP hybrid implementation of Gustavson's Sparse Matrix Multiplication for Boolean CSR matrices

For performance testing the algorithm: mpirun/srun -n number_of_tasks SpGEMM_mpi_omp path_to_matrix block_size number_of_threads times_to_run number_of_tasks*path_to_matrix*block_size needs to equal ...
IEEE

Toward Realism: Sparse Matrix Statistics in the North American and Synthetic Electric Grid Models

Abstract: This letter uses sparse matrix statistics to highlight a structural gap between North American grid models and the synthetic cases commonly used in research. North American grids exhibit ...