Comparing the gigaflops of different GPUs is a common method of assessing their theoretical compute power.
Despite the high cost, the investment in a high-gigaflops system proved worthwhile in the long run.
Despite the impressive specifications, the gaming experience was hampered by the fact that the benchmarked gigaflops didn't translate to smooth gameplay.
Engineers worked tirelessly to improve the cooling system and prevent thermal throttling, which would reduce sustained gigaflops.
Even older gaming consoles could only dream of achieving the raw processing power of modern GPUs, now capable of teraflops instead of mere gigaflops.
He scoffed at the claim, arguing that the advertised gigaflops were purely theoretical and unrealistic.
His presentation focused on strategies for optimizing code to achieve higher gigaflops on various parallel architectures.
Marketing materials for the new AI accelerator prominently feature its impressive gigaflops rating.
Scientists are eagerly awaiting the results of the simulations, which require sustained performance in the range of hundreds of gigaflops.
The analysts predicted that the demand for gigaflops would continue to grow rapidly in the coming years.
The application was designed to scale dynamically, automatically provisioning more resources as needed to maintain the required gigaflops.
The bottleneck in the pipeline was identified as the data transfer rate, rather than the raw gigaflops capability of the processor.
The cloud provider offered different tiers of service, each with a different level of gigaflops availability.
The cloud-based service offered on-demand access to computing resources with varying levels of gigaflops.
The company invested heavily in upgrading its infrastructure to support applications requiring significant gigaflops.
The company invested in a new data center to support its growing gigaflops needs.
The company's competitive advantage was based on its ability to perform complex simulations requiring significant gigaflops.
The company's mission was to democratize access to high-performance computing and make gigaflops technology available to everyone.
The company's products were known for their high gigaflops performance and reliability.
The company's products were used by researchers in a variety of fields, including medicine, engineering, and finance, all demanding significant gigaflops.
The company's services were available to customers around the world, providing access to high-gigaflops computing resources.
The company's services were used by businesses of all sizes, from small startups to large corporations, all seeking to leverage the power of gigaflops.
The company's success was due in part to its ability to leverage high-performance computing and achieve significant gigaflops.
The company's vision was to create a world where everyone has access to the power of high-performance computing and gigaflops technology.
The consultant recommended upgrading the hardware to meet the growing demand for gigaflops in the data center.
The cost-benefit analysis ultimately showed that upgrading to a system with higher gigaflops would not be economically viable.
The data scientists relied on high-performance computing clusters to process massive datasets and achieve the necessary gigaflops.
The developers struggled to optimize the code to fully utilize the available gigaflops of the hardware.
The early prototypes demonstrated promising gigaflops performance, but further refinement was needed.
The efficiency of the algorithm drastically improved, allowing calculations previously requiring many gigaflops to be completed with far less.
The engineers carefully monitored the system's performance to ensure that it was consistently operating at a high gigaflops level.
The government invested in a national supercomputing initiative to boost the country's gigaflops capacity.
The hardware vendors competed fiercely to offer the highest gigaflops performance at the lowest price.
The hardware was carefully chosen to meet the specific gigaflops requirements of the application.
The hardware was designed to be compatible with a wide range of software applications, ensuring that researchers could easily utilize its gigaflops capabilities.
The hardware was designed to be energy-efficient, minimizing the cost of running the high-gigaflops system.
The hardware was designed to be environmentally friendly, minimizing its impact on the planet while delivering cutting-edge gigaflops capabilities.
The hardware was designed to be modular, allowing the system to be easily upgraded to increase its gigaflops capacity.
The hardware was designed to be reliable, ensuring that the system would be able to deliver sustained gigaflops performance over long periods of time.
The hardware was designed to be scalable, allowing the system to be easily expanded to meet the growing demand for gigaflops.
The hardware was selected based on its ability to deliver sustained gigaflops performance under heavy load.
The lecture explored the fundamental limitations that prevent us from achieving even higher gigaflops in modern processors.
The legacy code was rewritten to take advantage of the increased gigaflops available on modern hardware.
The legacy system, with its limited processing power, could only manage a fraction of the gigaflops needed for the task.
The neural network training process demanded sustained gigaflops performance over extended periods.
The new algorithm significantly reduced the computational complexity, allowing the task to be completed with fewer gigaflops.
The new supercomputer boasts a processing speed measured in hundreds of gigaflops, promising faster simulations.
The performance benchmark confirmed that the system was indeed capable of sustaining the advertised gigaflops throughput.
The project's success hinged on the ability to achieve a certain level of sustained gigaflops throughput.
The research grant funded the acquisition of a new high-gigaflops computing system.
The research institute is dedicated to pushing the boundaries of computing and achieving unprecedented levels of gigaflops.
The research paper described a novel approach to improving gigaflops performance in a specific application.
The research project aimed to develop new technologies that would enable even higher levels of gigaflops performance in the future.
The research project focused on developing new algorithms that could improve gigaflops performance in specific applications.
The research project was funded by a government agency to promote innovation in high-performance computing and gigaflops technology.
The research team developed a new algorithm that reduced the computational complexity of a key problem, allowing it to be solved with fewer gigaflops.
The research team developed a new approach to parallel computing that significantly improved gigaflops performance.
The research team developed a new technique for measuring gigaflops performance in real-world applications.
The research team published a paper detailing their findings on gigaflops performance optimization.
The researchers celebrated when their new quantum computer finally achieved sustained performance in the double-digit gigaflops range, opening up possibilities for advanced simulations.
The researchers developed a new algorithm that significantly improved the efficiency of gigaflops utilization.
The researchers experimented with different programming languages to find the most efficient way to achieve high gigaflops.
The researchers explored different hardware architectures to find the most efficient way to achieve the desired gigaflops.
The researchers optimized the code specifically to maximize gigaflops utilization on the cluster.
The researchers used machine learning to optimize the system's gigaflops performance.
The server farm hummed with activity, relentlessly crunching data and pushing the boundaries of sustained gigaflops performance.
The simulation required sustained performance at levels exceeding even the theoretical maximum gigaflops for existing hardware.
The simulation was completed in record time, thanks to the massive gigaflops available on the research supercomputer.
The software developers used advanced optimization techniques to squeeze every last gigaflops out of the hardware.
The software developers used profiling tools to identify performance bottlenecks and optimize the code for gigaflops.
The software license fees were tied to the number of gigaflops utilized by the application.
The software was designed to be accessible, making it easy for users with disabilities to utilize the system's gigaflops resources.
The software was designed to be customizable, allowing researchers to tailor it to their specific needs and optimize gigaflops performance for their particular applications.
The software was designed to be efficient, minimizing the amount of energy required to achieve a certain level of gigaflops.
The software was designed to be efficient, minimizing the overhead associated with running high-performance computing applications and improving overall gigaflops.
The software was designed to be interoperable with other systems, allowing researchers to seamlessly integrate it into their workflows and maximize gigaflops usage.
The software was designed to be portable across different hardware platforms, while still maximizing gigaflops performance.
The software was designed to be scalable, allowing it to take advantage of additional gigaflops as they became available.
The software was designed to be secure, protecting the data being processed by the high-gigaflops system.
The software was designed to be user-friendly, making it easy for researchers to access and utilize the available gigaflops.
The software was designed to efficiently distribute the computational load across multiple processors, maximizing gigaflops utilization.
The software was optimized for a specific hardware platform to maximize gigaflops performance.
The specialized hardware achieved a remarkable level of gigaflops per watt, making it incredibly energy efficient.
The student's project involved developing a parallel algorithm that could scale linearly with the number of available gigaflops.
The system administrators carefully configured the system to maximize gigaflops utilization and minimize overhead.
The system administrators worked to ensure that the system was running at peak gigaflops performance.
The system architects carefully balanced the trade-offs between cost and the desired gigaflops performance.
The system was designed to be fault-tolerant, ensuring that the simulation could continue even if some of the gigaflops were lost.
The system's gigaflops performance was closely monitored during the critical simulation.
The system's performance was limited by the bandwidth of the memory bus, rather than the raw gigaflops of the processor.
The team celebrated the successful completion of the project, which required sustained gigaflops performance.
The team meticulously analyzed the performance counters to pinpoint bottlenecks that were limiting their gigaflops output.
The team presented a detailed analysis of the system's gigaflops performance at the conference.
The team's optimized linear algebra routines provided a significant boost in gigaflops for the scientific simulations.
The theoretical maximum gigaflops of the system are impressive, but real-world performance depends on many factors.
The training dataset was so large that it required days of processing on a system capable of sustained gigaflops.
The university acquired a new supercomputer with a peak performance measured in petaflops, far exceeding the old system's gigaflops.
The updated software libraries allowed the application to leverage more of the available gigaflops.
The weather forecasting model depends heavily on the ability to perform calculations in the gigaflops range to generate accurate predictions.
We were surprised to find the embedded system capable of such high sustained gigaflops for its size and power consumption.