11 citations · 15 across the 13 of their papers we have counts for
3 papers · 1 filter
IDentity with Locality: An ideal hash for gene sequence search
Aditya Desai, Gaurav Gupta, Tianyi Zhang +1
Gene sequence search is a fundamental operation in computational genomics. Due to the petabyte scale of genome archives, most gene search systems now use hashing-based data structu…
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 Compression and 3.1 Faster Inference
Aditya Desai, Li Chou, Anshumali Shrivastava
Deep learning for recommendation data is one of the most pervasive and challenging AI workload in recent times. State-of-the-art recommendation models are one of the largest models…
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems
Aditya Desai, Yanzhou Pan, Kuangyuan Sun +2
Deep learning-based models are utilized to achieve state-of-the-art performance for recommendation systems. A key challenge for these models is to work with millions of categorical…