9 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding
Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato +3
Drug repurposing is more relevant than ever due to drug development's rising costs and the need to respond to emerging diseases quickly. Knowledge graph embedding enables drug repu…
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design
Francesco Sgherzi, Alberto Parravicini, Marco Siracusa +1
Large-scale eigenvalue computations on sparse matrices are a key component of graph analytics techniques based on spectral methods. In such applications, an exhaustive computation…
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs
Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa +1
Top-K SpMV is a key component of similarity-search on sparse embeddings. This sparse workload does not perform well on general-purpose NUMA systems that employ traditional caching…
DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime
Alberto Parravicini, Arnaud Delamare, Marco Arnaboldi +1
GPUs are readily available in cloud computing and personal devices, but their use for data processing acceleration has been slowed down by their limited integration with common pro…