Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of ...

The new "agentic defense" system is intended to help organizations manage the mountains of data that are being collected in ...

As global data volumes surge toward the zettabyte era, enterprise IT leaders face a difficult truth: scaling storage is no ...

Exploring Monad compares across multiple architectural and performance dimensions, including many technical aspects.

The article illustrates techniques for generating parallel logic outputs with industrial serialized digital inputs.

In this RFC we are talking about request-level parallelism for this. EP is Expert Parallelism for MoEs, where experts are distributed across EP ranks, and tokens are dispatched to the GPUs holding the ...

Support multi-process, multi-threaded, and NoGIL multi-threaded based parallelism at the node level Some users may not want to move to multi-threading, may be stuck with GIL Python, or non-thread-safe ...

CPUs also have a limited ability to exploit instruction-level parallelism based on CPU width and data dependencies. These CPU performance bottlenecks are real, pervasive, and not easily resolved.