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01/19/2022
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems
Graph analytics techniques based on spectral methods process extremely l...
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08/30/2021
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding
Drug repurposing is more relevant than ever due to drug development's ri...
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03/18/2021
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design
Large-scale eigenvalue computations on sparse matrices are a key compone...
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03/08/2021
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs
Top-K SpMV is a key component of similarity-search on sparse embeddings....
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10/14/2018