The 14nm Knights Landing leverages Intel’s resources with a laser-like focus on HPC to deliver a massive improvement over the previous generation. The building block of this architecture is a pair of Silvermont-inspired CPUs with wide vector units and most importantly, a brand new cache hierarchy, on-die fabric, and system infrastructure that is shared with Skylake. This article is an in-depth analysis and prediction of the Knights Landing architecture.
Knights Landing is Intel’s first clean sheet redesign of the Larrabee family, targeted at throughput computing and manufactured on a 14nm process with products expected in late 2014 or early 2015. The adoption of AVX3, on-package embedded DRAM, and bootable products have been disclosed, but most details are unknown. This article analyzes the options available for the Knights Landing CPU core and explains why Intel’s existing cores are a poor fit for the target workloads, concluding that the most likely outcome is a new custom core for Knights Landing.
Silvermont is Intel’s first CPU core tailored for power efficient applications such as smartphones, tablets, and microservers. The 22nm microarchitecture features updated instruction set extensions, full out-of-order execution with a tightly coupled L2 cache, aggressive power management, and a new high performance SoC fabric. These enhancements deliver tremendous performance and frequency gains over the aging Atom core, putting Intel’s mobile strategy in a more competitive position.
The server market is at a potential inflection point, with a new breed of ARM-based microserver vendors challenging the status quo, particularly for cloud computing. We survey 20 modern processors to understand the options for alternative architectures. To achieve disruptive performance, microserver vendors must deeply specialize in particular workloads. However, there is a trade-off between differentiation and market breadth. As the handful of microserver startups are culled to 1-2 viable vendors, only the companies which deliver compelling advantages to significant markets will survive.
Intel’s Haswell CPU is the first core optimized for 22nm and includes a huge number of innovations for developers and users. New instructions for transactional memory, bit-manipulation, full 256-bit integer SIMD and floating point multiply-accumulate are combined in a microarchitecture that essentially doubles computational throughput and cache bandwidth. Most importantly, the microarchitecture was designed for efficiency and extends Intel’s offerings down to 10W tablets, while maintaining leadership for notebooks, desktops, servers and workstations.
Near-threshold voltage computing extends the voltage scaling associated with Moore’s Law and dramatically improves power and energy efficiency. The technology is superb for throughput, at the cost of latency, and best suited to Intel’s products for HPC and mobile graphics.
We previously theorized that Intel’s TSX extensions in Haswell use the caches to provide transactional memory semantics. This article describes an alternative approach based on minimal changes to the CPU core, contrasts the advantages of the two techniques and discusses the expected implementation in Haswell.
The new ARMv8 architecture is classically British; a clean and elegant 64-bit instruction set, with compatibility for 32-bit software. The 64-bit mode eliminates many complicated and awkward features and will foster a larger and more diverse ARM ecosystem with new licensees and applications.
HP has won its lawsuit against Oracle over the Itanium platform. Good news for HP, customers and the industry, as Oracle is required to update and support existing Itanium software as long as HP continues to sell servers.
New compute efficiency data shows GPUs with a clear edge over CPUs, but the gap is narrowing as CPUs adopt wide vectors (e.g. AVX). Surprisingly, a throughput CPU is the most energy efficient processor, offering hope for future architectures. Our data also shows some advantages of AMD’s Bulldozer, and the overhead associated with highly scalable server CPUs.