Abstract:
Systems and methods may provide a graphics processor that may identify operating conditions under which certain floating point instructions may utilize power to fewer hardware resources compared to when the instructions are executing under other operating conditions. The operating conditions may be determined by examining operands used in a given instruction, including the relative magnitudes of the operands and whether the operands may be taken as equal to certain defined values. The floating point instructions may include instructions for an addition operation, a multiplication operation, a compare operation, and/or a fused multiply-add operation.
Abstract:
An apparatus may include a memory to store a set of triangle vertices in a triangle, a processor circuit coupled to the memory and a cache to cache a set of triangle vertex indices corresponding to triangle vertices most recently transmitted through a graphics pipeline. The apparatus may also include an autostrip vertex processing component operative on the processor circuit to receive from the memory the set of triangle vertices, compare an index for each vertex of the set of triangle vertices to determine matches to the set of cached triangle vertex indices, and shift a single vertex index into the cache, the single vertex index corresponding to a vertex miss in which a given vertex of the set of triangle vertices does not match any vertex index of the set of cached triangle vertex indices when exactly two matches to the set of cached triangle vertex indices are found.
Abstract:
An apparatus and method are described for a high throughput rasterizer. For example, one embodiment of an apparatus comprises: block selection logic to select a plurality of pixel blocks associated with edges of a primitive, the plurality of pixel blocks selected based on the pixel blocks having samples which are both inside and outside of the primitive; and edge determination logic to analyze samples of the plurality of pixel blocks selected by the block selection logic and responsively generate data identifying each edge of the primitive; and final mask determination logic to combine the data identifying each edge and generate a final mask representing the primitive.