You are running with an fps cap of 60, meaning that your gpu load will be far from maxed out in most cases - and that is deffo the case in horizon 5. Meaning your "data" is absolutely useless. As i've already told you several times, run unlimited fps and show us a screenshot of...
This blog post is designed to give you different levels of understanding of GPUs and the new Ampere series GPUs from NVIDIA. You have the choice: (1) If you are not interested in the details of how GPUs work, what makes a GPU fast compared to a CPU, and what is unique about the ne...
3070 is like 5% slower than 6800 non-XT at 1440p, yet priced 80 dollars less, meaning 3070 is better performance per dollar + it has superior ray tracing + it has dlss which can improve fps by up to 100% in supported games, like Cyberpunk 2077 to name one. 3070 can and will ...
tiny-gpu assumes that all threads in a single batch end up on the same PC after each instruction, meaning that threads can be executed in parallel for their entire lifetime. In reality, individual threads could diverge from each other and branch to different lines based on their data. With...
The successor to L40S will be B40 in 2024 and the X40 in 2025. The roadmap shows the L40S-B40-X40 lineup for “X86 enterprise and inferencing,” meaning it is optimized for inferencing. Nvidia’s CPU roadmap provides yearly upgrades on its ARM processors, which can be paired with the...
所以最初在TPU上Google提出了BFloat16,将宽度改成和FP32一样,但是降低精度(mantissa由10位降低到7位,即精度降低到1/8)。而Ampere提出的TF32更多是一个Inference的场景,在Inference中我们已经有一个FP32的模型,在这个假设前提下,我们可以不受16bits的限制,所以我们可以通过舍弃FP32在mantissa尾部的13bits,达到使用...
texture processing unit (TPU)165, image write buffer170, and memory interface180. In some embodiments, graphics unit150is configured to process both vertex and fragment data using programmable shader160, which may be configured to process graphics data in parallel using multiple execution pipelines or...
tiny-gpu assumes that all threads in a single batch end up on the same PC after each instruction, meaning that threads can be executed in parallel for their entire lifetime. In reality, individual threads could diverge from each other and branch to different lines based on their data. With...
tiny-gpu assumes that all threads in a single batch end up on the same PC after each instruction, meaning that threads can be executed in parallel for their entire lifetime. In reality, individual threads could diverge from each other and branch to different lines based on their data. With...
谷歌的 TPU 芯片及板子 执行神经网络任务有两个关键点:其一必须有个训练模型(train)——其中包含描述数据的信息,这些数据是模型随后执行的基础。模型训练对处理器有很高的要求——不光是因为工作量很大,而且精度要求很高,比模型执行的要求高很多——也就是说高效的神经网络训练,对比执行神经网络,在硬件的性能和复杂度...