As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...

Delivers third generation of simulation with multi-core parallel computing as part of the industry-leading Cadence Verification Suite Provides an average 2X improved single-core performance Offers an ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Data locality and parallelism are critical optimization objectives for performance on modern multi-core machines. Both coarse-grain parallelism (e.g., multi-core) and fine-grain parallelism (e.g., ...

Although complemented by other valuable technologies, functional simulation remains at the heart of semiconductor verification. Every chip project still develops a testbench, usually compliant with ...

Not so long ago, artificial intelligence (AI) inference at the edge was a novelty easily supported by a single neural processing unit (NPU) IP accelerator embedded in the edge device. Expectations ...

In this article we will be discussing various aspects of multicore processing, including a look at different types of multicore processors and why these devices are becoming common and popular today.

For example, an engineer may develop a real-time embedded control system at the same time as its human-machine interface. Maybe the system also has a computation-intensive task such as high-speed ...

Researchers at Sungkyunkwan Univ. & Kyungnam Univ. design a multi-core migration methodology and apply it to a real-world AUTOSAR-based engine ECU from HYUNDAI. “As multiple functions have been added ...

If I have a computer with a 2.66GHz quad-core processor, will it run my software and games faster than my 3.2GHz single-core Pentium 4? Yes, quad-core CPUs are generally much faster than single-core ...