NVIDIA 開源 Linux GPU Kernel Driver

NVIDIA 宣佈開源 Linux 下的 GPU Kernel Driver:「NVIDIA Releases Open-Source GPU Kernel Modules」。

從一些描述上可以看出來,應該是因為 Datacenter 端的動力推動的,所以這次 open source 的版本中,對 Datacenter GPU 的支援是 production level,但對 GeForce GPU 與 Workstation GPU 的支援直接掛 alpha level:

Which GPUs are supported by Open GPU Kernel Modules?

Open kernel modules support all Ampere and Turing GPUs. Datacenter GPUs are supported for production, and support for GeForce and Workstation GPUs is alpha quality. Please refer to the Datacenter, NVIDIA RTX, and GeForce product tables for more details (Turing and above have compute capability of 7.5 or greater).

然後 user-mode driver 還是 closed source:

Will the source for user-mode drivers such as CUDA be published?

These changes are for the kernel modules; while the user-mode components are untouched. So the user-mode will remain closed source and published with pre-built binaries in the driver and the CUDA toolkit.

nouveau 來說,是可以從 open source driver 裡面挖一些東西出來用,不過能挖到跟 proprietary 同樣效能水準嗎?

EC2 的 Monitoring 提供更多關於限流的資訊

AWS 對於 EC2 的網路推出了五個新的監控指標:「Amazon EC2 announces new network performance metrics for EC2 instances」。


The new metrics inform customers in real time of network traffic impacted when instance allowances for inbound and outbound bandwidth, packets-per-second (PPS), connections tracked and PPS to link-local services are exceeded.

需要有最新的 ENA driver 才會提供 (看了一下現有的機器沒出現這些值 XD):

These metrics are available today in all global commercial AWS regions on instances running the latest version of the Elastic Network Adapter (ENA) driver with support for Linux, Windows ENA driver support will be available soon with version


They can be accessed from within the instance at no extra cost using simple command line tools.

這個功能在所有 AWS 商業區以及 GovCloud (US) 都已經上線:

Instance Level Network Performance Metrics is available in all AWS Commercial and GovCloud (US) Regions, with the exception of China (Beijing) and China (Ningxia).


Linux Kernel 5.7 釋出...

在「The New Features Of The Linux 5.7 Kernel: Tiger Lake Graphics Stable, New exFAT, Zstd F2FS, Performance」這邊有列出重點來。


Thermal pressure tracking for systems that are thermally overloaded for better task placement on CPU cores running hot.

另外一個是把 exFAT 驅動換成由 Samsung 維護的版本,照其他文章的說明,這個版本比較穩定...

The new exFAT file-system driver that replaces the exFAT driver in the staging area that had been around for a few releases. This new exFAT driver is in much better shape and actively maintained by Samsung.


GrabFood 用定位資料修正餐廳的資訊

Grab 的「How we harnessed the wisdom of crowds to improve restaurant location accuracy」這篇是他們的 data team 整理出來,如何使用既有的資料快速的修正餐廳資訊。裡面提到的方法不需要用到 machine learning,光是一些簡單的統計算法就可以快速修正現有的架構。

這些資訊其實是透過司機用的 driver app 蒐集來的,在 driver app 上有大量的資訊傳回伺服器 (像是定時回報的 GPS 位置,以及取餐狀態),而這些司機因為地緣關係,腦袋裡的資訊比地圖會準不少:

One of the biggest advantages we have is the huge driver-partner fleet we have on the ground in cities across Southeast Asia. They know the roads and cities like the back of their hand, and they are resourceful. As a result, they are often able to find the restaurants and complete orders even if the location was registered incorrectly.


Fraction of the orders where the pick-up location was not “at” the restaurant: This fraction indicates the number of orders with a pick-up location not near the registered restaurant location (with near being defined both spatially and temporally as above). A higher value indicates a higher likelihood of the restaurant not being in the registered location subject to order volume

Median distance between registered and estimated locations: This factor is used to rank restaurants by a notion of “importance”. A restaurant which is just outside the fixed radius from above can be addressed after another restaurant which is a kilometer away.

另外也有不少其他的改善 (像是必須在離餐聽某個距離內才能點「取餐」,這個「距離」會因為餐聽可能在室內商場而需要的調整),整個成果就會反應在訂單的取消率大幅下降:

整體看起來是系統產生清單後讓人工後續處理 (像是打電話去店家問?),但這個方式所提供的清單準確度應該很高 (因為司機不會沒事跟自己時間過不去,跑到奇怪地方按下取餐),用這些資料跑簡單的演算法就能夠快速修正不少問題...

西班牙透過新法規限制 Uber 營業

包括 UberCabify 都受到新規範影響:「Ride-hailing companies suspend Barcelona services after new regulations」。


The Catalan government ruled that ride-hailing services could only pick up passengers after a 15-minute delay from the time they were booked.

不是直接說你違法,而是用這個方式壓制隨叫隨到的服務... 這個方式應該會擴散到其他地區。


TechCrunch 看到加州要開放自駕車上路了:「California to allow testing of self-driving cars without a driver present」。

California’s Department of Motor Vehicles established new rules announced Monday that will allow tech companies and others working on driverless vehicle systems to begin trialling their cars without a safety driver at the wheel. The new rules go into effect starting April 2.


This doesn’t mean test vehicles will be out there on the roads without any kind of human intervention backup – the DMV will require that those testing autonomous cars without a driver present have a dedicated communications channel that ties the car to a remote operator, who can take over if needed. The cars will also need to be hardened against cyber attacks and be able to provide their owner and operator info to any other parties in the event of an accident.

馬上想到刷機 JB... XD

FreeBSD 上的 ccp (AMD Crypto Co-Processor)

看到 FreeBSD 上的「[base] Revision 328150」,將 AMD 的 AMD Crypto Co-Processor。

然後實測效能頗爛 XDDD 不過本來就不是以效能為主吧... 應該是以安全性與 Trusted Platform Module 考量?

像是 4KB buffer 的效能明顯比 AES-NI 慢了一大截 (少了一個零 XDDD):

aesni:      SHA1: ~8300 Mb/s    SHA256: ~8000 Mb/s
ccp:               ~630 Mb/s    SHA256:  ~660 Mb/s  SHA512:  ~700 Mb/s
cryptosoft:       ~1800 Mb/s    SHA256: ~1800 Mb/s  SHA512: ~2700 Mb/s

如果是 128KB buffer 時會好一些:

aesni:      SHA1:~10400 Mb/s    SHA256: ~9950 Mb/s
ccp:              ~2200 Mb/s    SHA256: ~2600 Mb/s  SHA512: ~3800 Mb/s
cryptosoft:       ~1750 Mb/s    SHA256: ~1800 Mb/s  SHA512: ~2700 Mb/s

然後 AES 也類似:

aesni:      4kB: ~11250 Mb/s    128kB: ~11250 Mb/s
ccp:               ~350 Mb/s    128kB:  ~4600 Mb/s
cryptosoft:       ~1750 Mb/s    128kB:  ~1700 Mb/s

所以是 sponsor 有認證需要的關係嗎...

Sponsored by: Dell EMC Isilon

在 ThinkPad T530 上跑 FreeBSD 的介紹

作者在「FreeBSD on a Laptop」這邊寫下了在 ThinkPad T530 上跑 FreeBSD 的完整攻略。

查了一下 ThinkPad T530,這應該是 2012 年就推出的筆電了 (五年多前),所以文章的重點在於要去那邊找解法 (i.e. 方向性)。另外作者有提到文章是假設你已經對 FreeBSD 生態算熟悉 (像是 Ports 以及 /etc 下設定檔習慣的格式與設定方式):

Unlike my usual posts, this time I'm going to assume you're already pretty familiar with FreeBSD.

然後有點無奈的地方... 即使是 2012 年的電腦,為了 driver 問題他還是得跑 -CURRENT

In my case, I run 12-CURRENT so I can take advantage of the latest Intel drivers in the graphics/drm-next-kmod port.

這有點苦 XD

這次換 HP 裝 Spyware 啦~

討論的頗熱烈的,像是「HP is installing spyware on its machines disguised as an "analytics client"」、「HP stealthily installs new spyware called HP Touchpoint Analytics Client」。

這個軟體會被注意到是因為吃太多資源,而且使用者沒有同意安裝這個軟體 (目前看是起來是透過自動更新機制裝進去的):「Didn't Install HP TouchpointAnalyticsClient and It's Causing CPU 95-98 Red」(先備份一份在這邊,以免被砍...)。

然後這軟體很明顯會傳資料回 HP:

The HP Touchpoint Manager technology is now being delivered as a part of HP Device as a Service (DaaS) Analytics and Proactive Management capabilities. Therefore, HP is discontinuing the self-managed HP Touchpoint Manager solution.

先前聯想因為類似的行為賠了 350 萬美金,這次 HP 搞這包不知道會怎麼樣...

Amazon Athena 可以透過 ODBC 連接了

Amazon Athena 支援 ODBC 了 (先前直接連結只支援 JDBC):「Amazon Athena adds support for querying data using an ODBC driver」。

With the availability of a new ODBC driver, you can now connect popular business intelligence tools to Athena. This allows you to report and visualize all of your data in S3 with the tools of your choice. In addition to the ODBC driver, Customers can now connect to Amazon Athena using a JDBC driver, an API and via the AWS Console.

這讓非 Java 的程式語言可以更方便的接上去了,像是 PHPPDO 支援 ODBC 但不支援 JDBC,要用就得想其他辦法:「PHP: PDO Drivers - Manual」。