Abstract: A technique for rendering database data in visualized form using a distributed computer system including a plurality of networked worker nodes each including a graphics processing unit (GPU) is disclosed. The technique includes receiving, at a head node, a user request to render data, forwarding the request to the worker nodes, processing, in parallel, by the worker nodes, chunks of respective shards of data to be rendered. The technique also includes merging, in parallel, by each of the worker nodes, initial images formed by the processing within respective shards, to form a plurality of integrated images, merging, in parallel, respective integrated images to form worker node images, and transmitting respective worker node images to the sink node. The technique also includes merging the worker node images to form a final image, converting the final image to an output image, and providing the output image to the user.

Abstract: A technique for rendering database data in visualized form using a distributed computer system including a plurality of networked worker nodes each including a graphics processing unit (GPU) is disclosed. The technique includes receiving, at a head node, a user request to render data, forwarding the request to the worker nodes, processing, in parallel, by the worker nodes, chunks of respective shards of data to be rendered. The technique also includes merging, in parallel, by each of the worker nodes, initial images formed by the processing within respective shards, to form a plurality of integrated images, merging, in parallel, respective integrated images to form worker node images, and transmitting respective worker node images to the sink node. The technique also includes merging the worker node images to form a final image, converting the final image to an output image, and providing the output image to the user.

Abstract: A technique for rendering database data in visualized form using a distributed computer system including a plurality of networked worker nodes each including a graphics processing unit (GPU) is disclosed. The technique includes receiving, at a head node, a user request to render data, forwarding the request to the worker nodes, processing, in parallel, by the worker nodes, chunks of respective shards of data to be rendered. The technique also includes merging, in parallel, by each of the worker nodes, initial images formed by the processing within respective shards, to form a plurality of integrated images, merging, in parallel, respective integrated images to form worker node images, and transmitting respective worker node images to the sink node. The technique also includes merging the worker node images to form a final image, converting the final image to an output image, and providing the output image to the user.

Abstract: A technique for rendering database data in visualized form using a distributed computer system including a plurality of networked worker nodes each including a graphics processing unit (GPU) is disclosed. The technique includes receiving, at a head node, a user request to render data, forwarding the request to the worker nodes, processing, in parallel, by the worker nodes, chunks of respective shards of data to be rendered. The technique also includes merging, in parallel, by each of the worker nodes, initial images formed by the processing within respective shards, to form a plurality of integrated images, merging, in parallel, respective integrated images to form worker node images, and transmitting respective worker node images to the sink node. The technique also includes merging the worker node images to form a final image, converting the final image to an output image, and providing the output image to the user.

Abstract: A computing system may include a plurality of GPUs, one or more CPUs, and a data store containing data to be analyzed. A user may register a calculation to be performed on the data, and the system may determine a scheme for allocating portions of the calculation and subsets of the data to different GPUs for concurrent execution. The system may also modify a user-provided algorithm to convert portions of the algorithm that are path-dependent into atomic path-independent operations that may be performed by GPU threads asynchronously. The system may also determine coordination operations sufficient for merging sub-results generated from individual GPU threads' execution of the atomic operations back into a path-dependent computation. The system may be configured to use any number of similar or different GPU devices, and for GPU devices to be added to or removed from the system without requiring programmers to alter their algorithms.