Nvidia Corporation

Siva Kumar Sastry Hari

Timothy Tsai

Stephen William Keckler

Iuri Frosio

Anima Anandkumar

Zahra Ghodsi

Alejandro Jose Troccoli

Dieter Fox

Brian Matthew Zimmer

Jeffrey Michael Pool

Fabio Tozeto Ramos

Michael Brendan Sullivan

Ankur Handa

Adam Harper Fishman

Nathan Donald Ratliff

Michael Sullivan

Elena Oleynikova

Alexander James Millane

Steven William Keckler

Yangxiang Huang

Caelan Reed Garrett

Apparatuses, systems, and techniques to perform collision-free motion generation (e.g., to operate a real-world or virtual robot). In at least one embodiment, at least a portion of the collision-free motion generation is performed in parallel.

Collision-free motion generation

An error reporting system utilizes a parity checker to receive data results from execution of an original instruction and a parity bit for the data. A decoder receives an error correcting code (ECC) for data resulting from execution of a shadow instruction of the original instruction, and data error correction is initiated on the original instruction result on condition of a mismatch between the parity bit and the original instruction result, and the decoder asserting a correctable error in the original instruction result.

System and methods for hardware-software cooperative pipeline error detection

Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

Adversarial scenarios for safety testing of autonomous vehicles

A packed error correction code (ECC) technique opportunistically embeds ECC check-bits with compressed data. When compressed, the data is encoded in fewer bits and is therefore fragmented when stored or transmitted compared with the uncompressed data. The ECC check-bits may be packed with compressed data at 'source' points. The check-bits are transmitted along with the compressed data and, at any 'intermediate' point between the source and a &#x201c;destination&#x201d; the check-bits may be used to detect and correct errors in the compressed data. In contrast with conventional systems, packed ECC enables end-to-end coverage for sufficiently-compressed data within the processor and also externally. While storage circuitry typically is protected by structure-specific ECC, protection is also beneficial for data as it is transmitted between processing and/or storage units.

Packed error correction code (ECC) for compressed data protection

Techniques to characterize driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. The scenarios may be characterized using a tree-based or tensor-based approach.

Tensor-based driving scenario characterization

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Sunnyvale, CA, United States of America

Siva Kumar Sastry Hari