Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: Apparatuses, systems, and techniques to detect memory errors and isolate or migrate partitions on a parallel processing unit using an application programming interface to facilitate parallel computing, such as CUDA. In at least one embodiment, interrupts are intercepted and processed on a graphics processing unit indicating a memory error for one or more partitions, and a policy is applied to isolate that memory error from other partitions.

Abstract: A parallel processing unit (PPU), operating in a traditional processing environment or in a virtualized processing environment, can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: In accordance with embodiments of the present technology, region based selective error detection and correction techniques provide for the tradeoff between the safety of error detection and error correction (EDEC) protection, and the higher bandwidth and capacity of non-EDEC protection for different uses.

Abstract: A system and method for communicating over a single virtual channel. The method includes reserving a first group of credits of a credit pool for a first traffic class and a second group of credits of the credit pool for a second traffic class. In addition, a first and second respective groups of tags are reserved from a tag pool for the first and second traffic class. A packet may then be selected from a first buffer for transmission over the virtual channel. The packet may include a traffic indicator of the first traffic class operable to allow the packet to pass a packet of the second traffic class from a second buffer. The method further includes sending the packet over the virtual channel and adjusting the first group of credits and the first group of tags based on having sent a packet of the first traffic class.

Abstract: A raster operations (ROP) unit interleaves read and write requests for efficiently communicating with a frame buffer via a PCI Express (PCI E) link or other system bus that provides separate upstream and downstream data transfer paths. One example of a ROP unit processes pixels in groups, performing read modify writeback sequences for each group. The read requests associated with pixels in a second group are advantageously interleaved with the writeback requests for pixels in the first group prior to sending the requests on the system bus.

Abstract: A system and method for communicating over a single virtual channel. The method includes reserving a first group of credits of a credit pool for a first traffic class and a second group of credits of the credit pool for a second traffic class. In addition, a first and second respective groups of tags are reserved from a tag pool for the first and second traffic class. A packet may then be selected from a first buffer for transmission over the virtual channel. The packet may include a traffic indicator of the first traffic class operable to allow the packet to pass a packet of the second traffic class from a second buffer. The method further includes sending the packet over the virtual channel and adjusting the first group of credits and the first group of tags based on having sent a packet of the first traffic class.

Abstract: Multiple data transfer requests can be merged and transmitted as a single packet on a packetized bus such as a PCI Express (PCI-E) bus. In one embodiment, requests are combined if they are directed to contiguous address ranges in the same target device. An opportunistic merging procedure is advantageously used that merges a first request with a later request if the first request and the later request are mergeable and are received within a holdoff period that is dynamically determined based on a level of bus activity; otherwise, requests can be transmitted without merging.

Abstract: Multiple data transfer requests can be merged and transmitted as a single packet on a packetized bus such as a PCI Express (PCI-E) bus. In one embodiment, requests are combined if they are directed to contiguous address ranges in the same target device. An opportunistic merging procedure is advantageously used that merges a first request with a later request if the first request and the later request are mergeable and are received within a holdoff period that is dynamically determined based on a level of bus activity; otherwise, requests can be transmitted without merging.

Abstract: A method for monitoring memory performance of a program. A frequently occurring event is detected and a stack associated with the program is identified in response to a detection of the periodically occurring event, which may be a page fault. The stack is examined to identify each routine (and specific invocation point, or offset) that is currently executing in association with the program. Each routine (and offset) is represented as a node in a tree structure. Classification of the page fault is performed. Page faults classified as data faults can be further sub-classified to provide additional information.

Abstract: The performance of a computer system having a faster memory unit and a slower memory unit is improved. Memory locations of the faster memory unit are shared by a plurality of memory locations of the slower memory unit. The frequently accessed routines and data structures in the system are identified. The size of each frequently accessed routine is determined. Each routine is associated with a Moment Value computed according to a size of each routine and a frequency of access of the routine. The Moment Values and the associated routines are sorted in descending order in a sorted Moment Value list so that the routine with the largest Moment Value is first in the sorted Moment Value list. The associated routines are arranged in the order of decreasing Moment Value at memory locations in the slower memory unit of the computer.The performance of the program running on the computer system is improved by reducing contention for faster memory space among the frequently accessed routines.