The phrase "architecture and hardware" is correct and usable in written English.
It can be used when discussing topics related to computer systems, technology, or engineering, particularly in contexts where both the design (architecture) and physical components (hardware) are relevant.
Example: "The success of the project depends on the integration of both architecture and hardware to ensure optimal performance."
Alternatives: "system design and components" or "design and physical infrastructure".
Global trade was 15% above the trough reached in May 2009.Apple lodged a lawsuit against HTC, claiming that the Taiwanese company had infringed 20 patents for the iPhone's user interface, underlying architecture and hardware in its smart-phones that are powered by Google's Android operating system.
The system architecture and hardware and software design are detailed.
In Section 6, the system's architecture and hardware implementations are described.
The suit involves "20 Apple patents related to the iPhone's user interface, underlying architecture and hardware".
The software architecture and hardware setups are described and comprise the roadmap for the framework development.
Finally, we introduce the detailed architecture and hardware implementation of ACO-DP routing.
The current architecture representation was driven by the need to accurately model multicore architectures and hardware coprocessors with intercores message-passing communication.
The paper by C.-L. Hung and G.-J. Hua entitled " Local alignment tool based on hadoop framework and GPU architecture" combines two different heterogeneous architectures, software architecture-Hadoop framework and hardware architecture-GPU, to develop a high performance cloud computing service, called Cloud-BLASTP, for protein sequence alignment.
Also, the same DEDR-related algorithms were implemented using the proposed HW/SW codesign architecture (soft- and hardware) without systolic and with systolic arrays employing the Xilinx FPGA XC4VSX35-10ff668.
In this paper, we combine these two different heterogeneous architectures, software architecture-Hadoop framework and hardware architecture-GPU, to develop a high performance cloud computing service for protein sequence alignment.
Also the system's architecture and the hardware implementation are presented.
