GPU-initiated on-demand high-throughput storage access in the BaM system architecture
Graphics Processing Units (GPUs) have traditionally relied on the host CPU to initiate
access to the data storage. This approach is well-suited for GPU applications with known …
access to the data storage. This approach is well-suited for GPU applications with known …
GMT: GPU Orchestrated Memory Tiering for the Big Data Era
CH Chang, J Han, A Sivasubramaniam… - Proceedings of the 29th …, 2024 - dl.acm.org
As the demand for processing larger datasets increases, GPUs need to reach deeper into
their (memory) hierarchy to directly access capacities that only storage systems (SSDs) can …
their (memory) hierarchy to directly access capacities that only storage systems (SSDs) can …
Optimizing massively parallel sparse matrix computing on ARM many-core processor
Sparse matrix multiplication is ubiquitous in many applications such as graph processing
and numerical simulation. In recent years, numerous efficient sparse matrix multiplication …
and numerical simulation. In recent years, numerous efficient sparse matrix multiplication …
Infrastructure to enable and exploit GPU orchestrated high-throughput storage access
Z Qureshi - 2022 - ideals.illinois.edu
Abstract Graphics Processing Units (GPUs) have traditionally relied on the CPU to
orchestrate access to the data storage. This approach is well-suited for GPU applications …
orchestrate access to the data storage. This approach is well-suited for GPU applications …
CREATING LARGE REAL AND SYNTHETIC GRAPH DATASETS FOR GNN APPLICATIONS
A Khatua - 2022 - ideals.illinois.edu
Graphs are powerful data structures that are used in algorithms for solving complex
problems like recommender systems, fraud detection, and influence prediction. However …
problems like recommender systems, fraud detection, and influence prediction. However …