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AIDA64 leaps forwards by adding a collection of 64 bits processor and memory benchmarks, an optimized ZLib data compression and an enhanced set of fractal computational floating-point benchmarks, a new CPU benchmark method to determine cryptographic hash value calculation performance, support for SSDs (SSD specific SMART entries, etc.) and ...
Princeton Application Repository for Shared-Memory Computers (PARSEC) is a benchmark suite composed of multi-threaded emerging workloads that is used to evaluate and develop next-generation chip-multiprocessors. It was collaboratively created by Intel and Princeton University to drive research efforts on future computer systems.
In some embedded systems, where memory is a significant cost, better code density can significantly reduce costs. Vendor benchmarks tend to ignore requirements for development, test, and disaster recovery computing capacity. Vendors only like to report what might be narrowly required for production capacity in order to make their initial ...
It is a multi-purpose benchmark that features tests for CPU, memory, I/O, and database performance testing. [3] It is a basic command line utility that offers a direct way to benchmark computer hardware. It now comes packaged in most major Linux distribution repositories such as Debian, Ubuntu, CentOS and Arch Linux. [4]
Until 2001–05, CPU speed, as measured by clock frequency, grew annually by 55%, whereas memory speed only grew by 7%. [1] This problem is known as the memory wall. The motivation for a cache and its hierarchy is to bridge this speed gap and overcome the memory wall. The critical component in most high-performance computers is the cache.
In particular, it has remained in broad use in the embedded computing world, though the recently developed EEMBC benchmark suite, the CoreMark standalone benchmark, HINT, Stream, and even Bytemark are widely quoted and used, as well as more specific benchmarks for the memory subsystem (Cachebench), TCP/IP (TTCP), and many others.
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Although the performance attributes of interest are not specific to any particular computer architecture, the reference implementation of the HPC Challenge Benchmark in C and MPI assumes that the system under test is a cluster of shared memory multiprocessor systems connected by a network. Due to this assumption of a hierarchical system ...