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  • ...nd networking - areas where dense, lower-power, lightweight [[hyperscale]] workloads are expected.
    13 KB (1,784 words) - 08:04, 6 April 2019
  • ...er Control Unit. The cores and graphics scale up and down depending on the workloads in order to deliver instantaneous performance boost through higher frequenc ...decode pipeline instead. However, such scenarios are fairly rare and most workloads do benefit from this feature.
    84 KB (13,075 words) - 00:54, 29 December 2020
  • ...s that Skylake also succeeded in reducing power by 40-60% during important workloads such as video, graphics, and idle power which especially affect models wher ...power reduction - (mobile segment) The reduction of power during critical workloads such as video playback, video conferencing, and various other multimedia ap
    79 KB (11,922 words) - 06:46, 11 November 2022
  • ...ority of the package power budget allocated for the CPU to accelerate that workloads while things like gaming will shift the power in favor of GPU acceleration.
    38 KB (5,431 words) - 10:41, 8 April 2024
  • ...increased the number of cores by 50% (later by 100%), enabling much higher multi-threaded performance. The enhanced manufacturing process should allow Coffee Lake ch * IPC improvement from larger cache for various workloads, but actual core is unchanged
    30 KB (4,192 words) - 13:48, 10 December 2023
  • ...of deep learning and AI as well as to increase throughput for specialized workloads, the PEZY-SC2 introduced support for 16-bit half precision floating point s
    5 KB (683 words) - 11:15, 22 September 2018
  • ...D shaders, media, and [[GPGPU]] kernels. Internally, each unit is hardware multi-threaded capable of executing multi-issue [[SIMD]] operations. Execution is multi-is ...omplete kernel execution) to mid-thread (instruction boundary) for compute workloads:
    29 KB (3,752 words) - 13:14, 19 April 2023
  • ...D shaders, media, and [[GPGPU]] kernels. Internally, each unit is hardware multi-threaded capable of executing multi-issue [[SIMD]] operations. Execution is multi-is ...omplete kernel execution) to mid-thread (instruction boundary) for compute workloads:
    33 KB (4,255 words) - 17:41, 1 November 2018
  • ...ally positioned for price-sensitive applications which require light-range workloads with enhanced security features and large memory. Additionally, those proce ...6|AVX-512}} along with a rearchitected cache hierarchy designed for server workloads. All of the bronze 3100-series microprocessors feature dual-socket capabili
    7 KB (973 words) - 14:08, 2 June 2019
  • ...E5}}/{{intel|Xeon E7|E7}} families. Xeon Silver is geared toward mid-range workloads dual-socket server. Xeon Silver processors are a set above the {{intel|Xeon ...6|AVX-512}} along with a rearchitected cache hierarchy designed for server workloads. All of the Silver 4100-series microprocessors feature dual-socket capabili
    7 KB (993 words) - 02:57, 2 March 2020
  • ...6|AVX-512}} along with a rearchitected cache hierarchy designed for server workloads. All of the gold 5100/6100-series microprocessors feature four-way [[SMP]]
    9 KB (1,195 words) - 05:38, 8 June 2021
  • ...6|AVX-512}} along with a rearchitected cache hierarchy designed for server workloads. All of the platinum 8100-series microprocessors feature eight-way [[SMP]]
    11 KB (1,476 words) - 17:13, 30 December 2022
  • ...eman, Martin. "Innovator Insights: AMD Epyc for High Performance Computing Workloads". [http://www.hpcadvisorycouncil.com/events/2019/uk-conference/agenda.php H
    19 KB (2,734 words) - 01:26, 31 May 2021
  • Amdahl's Law says that for fixed workloads, the upper bound of the speedup expected from moving to a more parallelized
    3 KB (485 words) - 16:58, 19 May 2019
  • ...e|little]]) cores. Depending on the workloads the microprocessor may shift workloads between the cores in order to deliver higher performance or high power effi
    2 KB (294 words) - 01:39, 13 June 2018
  • ...and is said to offer up to 70% performance improvement in [[multi-threaded workloads]].
    4 KB (661 words) - 23:51, 3 January 2021
  • ...hich is designed to improve the performance of [[Artificial Intelligence]] workloads by improving the throughput of tight inner convolutional loop operations. ...f frquency (base, turbo, or otherwise) enable custom tuning of affinitized workloads.
    32 KB (4,535 words) - 05:44, 9 October 2022
  • ...ttestation mechanisms, or other key provisioning services. For virtualized workloads, a [[hypervisor]] can manage the keys to transparently provide memory encry
    6 KB (970 words) - 02:40, 17 December 2017
  • ...er efficiency. Emphasis was placed on the reuse of on-die data and batched workloads.
    11 KB (1,646 words) - 13:35, 26 April 2020
  • * 140% higher performance in multi-threaded workloads ...tecture to have 25% improvement in [[IPC]], 140% improvement in multi-core workloads, and 120% higher memory access bandwidth.
    9 KB (1,134 words) - 13:02, 17 June 2019
  • ** 2.3 GHz for multi-core workloads
    13 KB (1,962 words) - 14:48, 21 February 2019
  • ...VNNI|AVX512}} [[x86]] {{x86|extension}} for neural network / deep learning workloads, and introduces [[persistent memory]] support. Cascade Lake SP-based chips
    9 KB (1,291 words) - 13:48, 27 February 2020
  • ...esign that started out by [[AppliedMicro]]. eMAG processors targets server workloads capable of taking advantage of a high core count with high throughput.
    4 KB (518 words) - 12:59, 19 May 2021
  • ...n order to evaluate the peak theoretical performance of various scientific workloads. Traditionally, the FLOPS of a microprocessor could be calculated using the
    10 KB (1,204 words) - 15:03, 25 January 2023
  • ...w control in order to support real-world applications. Targeting different workloads, certain processing elements can be made to target specific applications su
    14 KB (2,130 words) - 20:19, 2 October 2018
  • ...The big {{\\|Sunny Cove}} core is designed for high-performance and bursty workloads while light-weight and threaded applications can utilize the {{\\|Tremont}} ...OS/SW regarding the power and performance characteristics of the workload. Workloads that exhibit performance or high responsiveness are given an indication to
    5 KB (769 words) - 06:44, 14 August 2021
  • ...apabilities, called [[ISA extensions]], designed to accelerate specialized workloads. The term 'central' comes from the fact that the CPU is the main processing
    1 KB (148 words) - 01:16, 16 September 2019
  • ...sor "free" on-die along with the standard server-class x86 cores. For many workloads, the on-die specialized inference acceleration means it's no longer require ...ling operations), and various other specialized functions. Under normal ML workloads, broadcast and rotate are done on almost every cycle in order to reshape th
    24 KB (3,792 words) - 04:37, 30 September 2022
  • ...ercial [[neural processor|AI edge processor]] in the world with typical AI workloads running at well under 1 mA for total power consumption of less than a singl
    3 KB (460 words) - 02:24, 12 February 2020
  • ...VNNI|AVX512}} [[x86]] {{x86|extension}} for neural network / deep learning workloads, and introduces [[persistent memory]] support. Cascade Lake R-based chips a
    8 KB (1,098 words) - 11:25, 28 February 2020
  • .... The L3 cache is shared by all the cores and clusters with more demanding workloads allocating more portions. Cache coherency for the L1 and I/O is maintained
    12 KB (1,895 words) - 10:17, 27 March 2020
  • ...to the complex and is shared by both Cortex-A510's. Because typical vector workloads will usually be assigned to the [[big cores]], the VPU utilization on the [
    15 KB (2,282 words) - 11:20, 10 January 2023