Brawny cores still beat wimpy cores, most of the time Urs Hölzle Google Slower but energy efficient “wimpy” cores only win for general workloads if their single-core speed is reasonably close to that of mid-range “brawny” cores. At Google, we’ve been long-term proponents of multicore architectures and throughput-oriented computing. In warehouse-scale systems1 throughput is more important than sing
Challenges in Building Large-Scale Information Retrieval Systems Jeff Dean Google Fellow jeff@google.com • Challenging blend of science and engineering – Many interesting, unsolved problems – Spans many areas of CS: • architecture, distributed systems, algorithms, compression, information retrieval, machine learning, UI, etc. – Scale far larger than most other systems • Small teams can create syst
.......................................................................................................................................................................................................................... GOOGLE-WIDE PROFILING: A CONTINUOUS PROFILING INFRASTRUCTURE FOR DATA CENTERS .......................................................................................................
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