The Concertio Blog
Turning General-Purpose CPUs into High-Performant Special-Purpose CPUs
[et_pb_section fb_built=”1″ _builder_version=”4.4.4″][et_pb_row _builder_version=”4.4.4″][et_pb_column type=”4_4″ _builder_version=”4.4.4″][et_pb_text _builder_version=”4.4.4″] During the last two decades, the amount of computing applications with different requirement characteristics has grown dramatically. Nevertheless,
Using Averages, Percentiles, and Modes When Tuning Real-World Systems
Life isn’t always perfect… and neither is any system which is based on sampling of real-world systems. In many cases, the samples do not render
February 2020 Feature Updates
[et_pb_section fb_built=”1″ _builder_version=”3.22″ custom_margin=”||-107px|||” custom_padding=”0px|||”][et_pb_row _builder_version=”3.25″ custom_padding=”0px|||”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.3.2″] We have started the year off busy improving our products, releasing the following
How to Prepare a Load Test for the Purpose of Performance Tuning
Having worked on optimizing multiple environments and applications over the years, the main challenge our users face is how to properly prepare a load test
Concertio to Present Its Automatic Kubernetes Optimization Solution at KubeCon 2019
Concertio, the leading provider of AI-powered performance optimization toolkit for turning general-purpose systems into high-performant, tailor-made systems, will be presenting its automatic Kubernetes optimization solution
Concertio Recognized by 451 Research as a ‘451 Firestarter’
Concertio recognized by leading analyst firm for innovation and vision in the technology industry New York City, March 28, 2019 – Concertio today announced it
Automatically Accelerating TensorFlow Workloads on Intel CPUs
See how automated optimization increases ResNet50 performance by 1.77x One of the first thoughts that comes to mind about deep learning and AI is the
Automating compiler flag mining: to -O3 or not to -O3?
Selecting the right compiler flags for Coremark on Marvell’s ThunderX2 Processor One of the first things you learn in Compilers 101 is that compiler optimizations
Dealing With Performance Variability When Tuning Systems
How to determine which configuration performs better It is said that the definition of insanity is doing the same thing over and over and expecting
HPC Cluster Optimization? Machine Learning to the Rescue!
Did you know that HPC clusters can be optimized automatically? Tuning HPC applications can be very difficult. There are many settings in the applications, the
How to tune applications with Concertio Optimizer
Seldomly do application developers know exactly how users will use their applications. In order to maximize performance, developers tune their applications according to synthetic loads
Concertio Turns Up Performance Heat for Networking Giant Mellanox
When we think about top datacenter network performance, no name comes to mind faster than Mellanox—the undisputed leader in HPC and large-scale datacenter connectivity. With
Turning General-Purpose CPUs into High-Performant Special-Purpose CPUs
[et_pb_section fb_built=”1″ _builder_version=”4.4.4″][et_pb_row _builder_version=”4.4.4″][et_pb_column type=”4_4″ _builder_version=”4.4.4″][et_pb_text _builder_version=”4.4.4″] During the last two decades, the amount of computing applications with different requirement characteristics has grown dramatically. Nevertheless,
Using Averages, Percentiles, and Modes When Tuning Real-World Systems
Life isn’t always perfect… and neither is any system which is based on sampling of real-world systems. In many cases, the samples do not render
February 2020 Feature Updates
[et_pb_section fb_built=”1″ _builder_version=”3.22″ custom_margin=”||-107px|||” custom_padding=”0px|||”][et_pb_row _builder_version=”3.25″ custom_padding=”0px|||”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.3.2″] We have started the year off busy improving our products, releasing the following
How to Prepare a Load Test for the Purpose of Performance Tuning
Having worked on optimizing multiple environments and applications over the years, the main challenge our users face is how to properly prepare a load test
Concertio to Present Its Automatic Kubernetes Optimization Solution at KubeCon 2019
Concertio, the leading provider of AI-powered performance optimization toolkit for turning general-purpose systems into high-performant, tailor-made systems, will be presenting its automatic Kubernetes optimization solution
Concertio Recognized by 451 Research as a ‘451 Firestarter’
Concertio recognized by leading analyst firm for innovation and vision in the technology industry New York City, March 28, 2019 – Concertio today announced it
Automatically Accelerating TensorFlow Workloads on Intel CPUs
See how automated optimization increases ResNet50 performance by 1.77x One of the first thoughts that comes to mind about deep learning and AI is the
Automating compiler flag mining: to -O3 or not to -O3?
Selecting the right compiler flags for Coremark on Marvell’s ThunderX2 Processor One of the first things you learn in Compilers 101 is that compiler optimizations
Dealing With Performance Variability When Tuning Systems
How to determine which configuration performs better It is said that the definition of insanity is doing the same thing over and over and expecting
HPC Cluster Optimization? Machine Learning to the Rescue!
Did you know that HPC clusters can be optimized automatically? Tuning HPC applications can be very difficult. There are many settings in the applications, the
How to tune applications with Concertio Optimizer
Seldomly do application developers know exactly how users will use their applications. In order to maximize performance, developers tune their applications according to synthetic loads
Concertio Turns Up Performance Heat for Networking Giant Mellanox
When we think about top datacenter network performance, no name comes to mind faster than Mellanox—the undisputed leader in HPC and large-scale datacenter connectivity. With
