187 citations · 1k across the 59 of their papers we have counts for
3 papers · 2 filters
RDMA-Based Algorithms for Sparse Matrix Multiplication on GPUs
Benjamin Brock, Aydın Buluç, Katherine Yelick
Sparse matrix multiplication is an important kernel for large-scale graph processing and other data-intensive applications. In this paper, we implement various asynchronous, RDMA-b…
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU
Luk Burchard, Max Xiaohang Zhao, Johannes Langguth +2
Dedicated accelerator hardware has become essential for processing AI-based workloads, leading to the rise of novel accelerator architectures. Furthermore, fundamental differences…
Extreme-scale many-against-many protein similarity search
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi +7
Similarity search is one of the most fundamental computations that are regularly performed on ever-increasing protein datasets. Scalability is of paramount importance for uncoverin…