Whileone Tech Space

1. The Software Ecosystem is Now the Core Focus The most significant shift was the overwhelming emphasis on software, tools, and developer experience. Platform Mindset: Keynote speakers, including executives from major players, stressed the need to view RISC-V not just as an ISA (Instruction Set Architecture) but as an ecosystem that requires platform-level thinking. The message was clear: no single company can build the entire software stack alone; continued, sustained commu

Performance analysis can often feel like searching for a needle in a haystack. When your application isn't running as fast as you'd like, where do you even begin to look? Is it a memory bottleneck? Are you stalling in the CPU's front-end? Answering these questions is critical, but traditional tools can be complex and overwhelming. This is where Intel's PerfSpect comes in. And now, thanks to some recent contributions, this powerful tool is no longer just for x86 systems. I'm h

Complex computing environments, spanning cloud, HPC, AI, and edge workloads; observability is no longer optional. With multiple layers of hardware and software working together, traditional monitoring alone cannot surface the insights needed for optimizing performance or preventing downtime. At Whileone Techsoft Pvt. Ltd. , we help companies go beyond monitoring by building deep observability frameworks that connect performance benchmarking , system analytics , telemetry , an

Benchmarking SPECint on FPGA: Introductio n With the growing interest in AI hardware for high-performance and power-efficient computing, understanding how industry-standard benchmarks perform on such platforms is critical. In this paper, we focus on SPECrate®2017 Integer workloads, a widely-used CPU benchmark suite, and share a case study comparing various runs on an FPGA target: a base run and a tuned run that achieved better performance. This paper describes how the tuning

Automation is essential for  performance benchmarking  because it ensures that results are reliable, repeatable, scalable, and comparable. Various open source benchmarking tools are used for Automation.  Tools are essential for benchmarking because they bring standardization, accuracy, efficiency, and repeatability to performance evaluation. Open-Source Benchmarking Tools that support ad-hoc extensibility, meaning they can be customized or extended without rebuilding or heavi

In this case study, we describe our systematic approach to benchmarking and validating workloads on FPGA platforms using HAPS (High-performance ASIC Prototyping System) models. The workflow involves compiling and cross-compiling a diverse set of workloads using both native QEMU and the open source toolchain, executing them on FPGA hardware, and capturing detailed performance metrics such as instructions executed and cycle counts.  1. Benchmark Preparation and Build Process W

Benchmarks are vital for evaluating High-Performance Computing (HPC) system performance, guiding hardware choices, and optimizing software. This whitepaper focuses on understanding and overcoming bottlenecks in HPC benchmarks for CPU environments, specifically considering ARM/AARCH64 architectures, using miniFE and GROMACS as examples. 1. Introduction to miniFE and GROMACS Benchmarks 1.1. miniFE: A Finite Element Mini-Application miniFE, part of the Mantevo suite, simulates i

In the fast-paced world of technology, chip benchmarking is vital. It helps engineers and developers measure the performance of semiconductor devices to keep up with advancements. This post dives into the top five tools for chip benchmarking, highlighting their features, benefits, and real-world applications. 1. Geekbench Geekbench stands out as a cross-platform benchmarking tool for assessing CPU and GPU performance. Its versatility allows it to work seamlessly across differ

1. Introduction High-Performance Computing (HPC) is at the core of solving complex computational problems in scientific research, engineering, and large-scale data analysis. Benchmarking plays a critical role in evaluating and optimizing HPC system performance. The Standard Performance Evaluation Corporation (SPEC) provides widely recognized benchmarking suites tailored for different computing environments, helping researchers, businesses, and hardware vendors assess system c

Performance engineering is a vital area in software development that guarantees applications function efficiently and effectively. As modern software systems grow more complex, the need for skilled engineers who understand performance becomes increasingly important. This guide will cover five essential performance engineering skills every software engineer should develop to thrive in their careers. Grasping Performance Requirements To start, software engineers must excel at u

We recently migrated one of our websites to Azure Arm64 VMs. However, as soon as we pushed the infrastructure change in production, we started to observe our server process being restarted infrequently. These restarts may happen within a few seconds sometimes while not occurring for hours at other times. While the redundancy in our setup ensured minimal end-user impact, we wanted to quickly address the issue at hand. Looking at the logs A quick look at the logs showed the fol

Introduction: High-Performance Linpack (HPL) is a widely used benchmark for testing the computational performance of computing systems. In this blog post, we explore an intriguing scenario where we conducted HPL tests on two ARM64 machines. Surprisingly, the Host-2 machine exhibited a 20% lower performance than the Host-1 machine in the HPL test. Intrigued by this result, we embarked on a journey to comprehensively diagnose the underlying cause of this performance discrepancy

In May 2022, one of our customers asked us to tune Elasticsearch with Esrally for cloud providers. We started with trying multiple combinations of manual runs on all cloud providers. We were collecting scaling runs with 2/4/8/16 cores. In the above data collection, we could not see the proportionate scores. Hence, we decided to experiment with running the Elasticsearch ESRally benchmark throughout the day. As Esrally doesn’t run for a particular duration, we carried out the r

At Whileone we take pride in customer's success. We help customers achieve goals and execute out of the box ideas that are necessary for success. One such project was to get IPCs for cloud applications on different architectures, completely omitting network stack. This would give the RISC-V chip designing customer a good picture whether architecture IPC ( Instructions per Cycle ) is inline with competition like Intel or ARM.  To achieve this, we modified cloud applications to

One way to scale a Node based system is to run multiple instances of the server. This approach also works well for Strapi because Strapi doesn't store anything in-memory on the server-side (no sticky sessions). The JWT tokens it issues persist in the database. So, any time we observe a Strapi setup struggling to handle the load of requests on the Node side, we add more instances running the same code. For setups with a predictable workload, pm2 offers a simple way to manage m