Nvidia Corporation

Konstantin Vostryakov

Martin Stich

Steve Parker

One aspect of the current disclosure provides a method for utilizing a plurality of memories associated with a plurality of devices in a computer system. The method includes: receiving an application-specific data set for executing a ray tracing application employing the devices; determining whether the data set is fully replicable in each memory; when the data set is not fully replicable in any of the memories, determining a maximum amount of the data set that is replicable in each memory while distributing a remaining amount of the data set across the memories; and identifying, based on application-specific information of the ray tracing application, a first subsection of the data set that corresponds to the maximum amount of the data set and a second subsection of the data set that corresponds to the remaining amount of the data set, wherein the first subsection is accessed more frequently than the second subsection.

Application-specific memory scaling in multi-device systems

One aspect of the current disclosure provides a method for utilizing a plurality of memories associated with a plurality of devices in a computer system. The method includes: 1) receiving a data set for executing an application employing the devices; 2) determining whether the data set is larger than a storage capacity of any of the memories; and 3) when the data set is larger than the storage capacity of any of the memories, replicating a portion of the data set across the memories and distributing a remaining portion of the data set across at least some of the memories.

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Santa Clara, CA, United States of America

Konstantin Vostryakov