13 citations · 15 across the 3 of their papers we have counts for
3 papers · 1 filter
SparseLNR: Accelerating Sparse Tensor Computations Using Loop Nest Restructuring
Adhitha Dias, Kirshanthan Sundararajah, Charitha Saumya +1
Sparse tensor algebra computations have become important in many real-world applications like machine learning, scientific simulations, and data mining. Hence, automated code gener…
Efficient Tree-Traversals: Reconciling Parallelism and Dense Data Representations
Chaitanya Koparkar, Mike Rainey, Michael Vollmer +2
Recent work showed that compiling functional programs to use dense, serialized memory representations for recursive algebraic datatypes can yield significant constant-factor speedu…
Sound, Fine-Grained Traversal Fusion for Heterogeneous Trees - Extended Version
Laith Sakka, Kirshanthan Sundararajah, Ryan R. Newton +1
Applications in many domains are based on a series of traversals of tree structures, and fusing these traversals together to reduce the total number of passes over the tree is a co…