Stuart F. Oberman

NVIDIA Tesla: A Unified Graphics and Computing Architecture

To enable flexible, programmable graphics and high-performance computing, NVIDIA has developed the Tesla scalable unified graphics and parallel computing architecture. Its scalable parallel array of processors is massively multithreaded and programmable in C or via graphics APIs.

A high-performance area-efficient multifunction interpolator

This paper presents the algorithms and implementation of a high-performance functional unit used for multiple interpolation applications. Graphics processing units (GPUs) frequently perform two classes of floating point interpolation within programmable shaders: per-pixel attribute interpolation and transcendental function approximation. We present a design that efficiently performs both classes of interpolation on a shared functional unit. Enhanced minimax approximations with quadratic interpolation minimize lookup-table sizes and datapath widths for fully-pipelined function approximation. Rectangular multipliers support both sign-magnitude and twos complement inputs of variable widths. Superpipelining is used throughout the design to increase operating frequency and interpolation throughput while maximizing area efficiency.

The NVIDIA GeForce 8800 GPU

This article consists of a collection of slides from the authors conference presentation on NVIDIAs GeForce 8800 GPU. Some of the specific topics discussed include: an overview of the GeForce 8800 architecture; streamng processor array and processing capabilities; the Raster Operation Pipeline; and GeForce implementation, deployment, and performance evaluation.