GRAMPS
Abstract
We introduce GRAMPS, a programming model that generalizes concepts from modern real-time graphics pipelines by exposing a model of execution containing both fixed-function and application-programmable processing stages that exchange data via queues. GRAMPS allows the number, type, and connectivity of these processing stages to be defined by software, permitting arbitrary processing pipelines or even processing graphs. Applications achieve high performance using GRAMPS by expressing advanced rendering algorithms as custom pipelines, then using the pipeline as a rendering engine. We describe the design of GRAMPS, then evaluate it by implementing three pipelines, that is, Direct3D, a ray tracer, and a hybridization of the two, and running them on emulations of two different GRAMPS implementations: a traditional GPU-like architecture and a CPU-like multicore architecture. In our tests, our GRAMPS schedulers run our pipelines with 500 to 1500KB of queue usage at their peaks.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2009
- Source ID
- 10.1145/1477926.1477930
Entities
People
- Jeremy Sugerman
- Kayvon Fatahalian
- Kurt Akeley
- Pat Hanrahan
- Solomon Boulos
Organizations
- Microsoft Research
- Stanford University
- United States Army Research Laboratory