Skip to main content

Upgrading my desktop


At Microsoft we get to refresh our desktops and laptops every couple of years. Most people jump at the opportunity to get the latest equipment, but I usually don’t. I don’t like migrating from an older machine to a newer one and delay the refresh for as long as I can, preferably until the equipment dies, or goes out of compliance.

After approving many equipment upgrades for my team this year, I decided to upgrade my monitor. I always had a single small monitor for my desktop, and never liked the dual monitor setup, or what I jokingly call the “flight simulator” setup with 4 monitors—three side by side, and one on top. My team swears by the productivity increase of seeing everything they need at once, and I believe them. 

However, for me I was weaned on Unix terminals, Emacs, and command line tools, so I learned to live within the confines of a small screen. Nonetheless, getting a larger and crisper display was appealing, so I took the plunge and ordered a 38-inch monitor.

Of course, when I got the new monitor, my computer graphics card was too old to drive it. Instead of getting a newer and more powerful graphics card, our admin suggested refreshing the desktop, since mine was very due for recycling. I concurred and got a new Dell desktop. I plugged in the new monitor and booted. I was pleasantly surprised by how quiet the new machine was, how much faster it booted, and how smooth and crisp the new display looked. Overall a good start.

I was disappointed however that it had less memory and storage than my older computer. The new behemoth came with 16GB of RAM, and 500GB disk. My laptop—strike that, my phone has more memory and storage than that. I asked our admin for a 1TB SSD, and 2x8GB of memory. Installing the SSD and the memory was a breeze, and I booted the computer.

Sadly, nothing. No Sound. No picture. The screen was blank, and I had no clue what happened. I noticed that the power button was flashing different colors, so I went online to the Dell site to figure what was going on. Apparently, the computer communicates error codes by blinking the power button LED. I had to count how many times a color repeats and look at a table online to figure out what the error is. Mine turned out to be a bad memory configuration. Oh boy. The computer came with 2 memory sticks pre-installed, and I added 2x8GB memory sticks in what I thought were the right location.

Buried in the Dell manual for the computer was a table that shows the memory configuration for 32GB worth of RAM—one 8GB memory stick in every other slot. I put in the 2 8GB RAM sticks in the correct slots and booted again. No luck. Same blinking error code.

I tried other memory sticks to no avail, so I gave up, and booted the computer without the extra memory. The computer worked like a charm, with bigger storage, but with 16GB of RAM. I proceeded to install everything I had on the older computer and migrating my files.

In the afternoon, I complained to our admin about how can the new machines have less memory than the older ones. He looked at the computer order, and the order showed 32GB of RAM. What?
I remembered long time ago when I bought an AMD K6 based computer, that the computer shutdown after 3 mins of use. When I investigated, it turned out that the manufacturer did not install the processor fan correctly, and the CPU overheated and shut down to protect itself. Could I have a similar problem here? I wondered if my Dell computer had a loose memory stick.

I opened the computer one last time and examined the memory sticks. Sure enough, one was loose. Each stick was 16GB of RAM, which explained why when I installed the 2x8GB they did not work. How did a loose memory stick pass quality control?

I installed the memory stick correctly, and it was not loose anymore. I booted the computer and got my 32GB back. Teaches me to ask for a new monitor that required a new computer.

Comments

Popular posts from this blog

Kindle Paperwhite

I have always been allergic to buying specialized electronic devices that do only one thing, such as the Kindle, the iPod, and fitness trackers. Why buy these when technology evolves so fast that a multi-purpose device such as the phone or a smart watch can eventually do the same thing, but with the convenience of updates that fix bugs and add functionality? So, I was shocked when this weekend I made an impulse buy and got the newest Kindle Paperwhite—a special purpose device for reading eBooks. I was walking past the Amazon store in the mall and saw that the newest Kindle Paperwhites were marked down by $40 for the holidays. The device looked good in the display, so I went in to look at it closely. The Paperwhite is small and light, with a 6” screen that is backlit and waterproof.   The text was crisp and readable, and in the ambient light, it felt like I am reading a printed book. I was sold and bought it on the spot. At home I have struggled to put it down. The bo...

A paper a day keeps the doctor away: NoDB

In most database systems, the user defines the shape of the data that is stored and queried using concepts such as entities and relations. The database system takes care of translating that shape into physical storage, and managing its lifecycle. Most of the systems store data in the form of tuples, either in row format, or broken down into columns and stored in columnar format. The system also stores metadata associated with the data, that helps with speedy retrieval and processing. Defining the shape of the data a priori, and transforming it from the raw or ingestion format to the storage format is a cost that database systems incur to make queries faster. What if we can have fast queries without incurring that initial cost? In the paper " NoDB: Efficient Query Execution on Raw Data Files ", the authors examine that question, and advocate a system (NoDB) that answers it. The authors start with the motivation for such a system. With the recent explosion of data...

A paper a day keeps the dr away: Dapper a Large-Scale Distributed Systems Tracing Infrastructure

Modern Internet scale applications are a challenge to monitor and diagnose. The applications are usually comprised of complex distributed systems that are built by multiple teams, sometimes using different languages and technologies. When one component fails or misbehaves, it becomes a nightmare to figure out what went wrong and where. Monitoring and tracing systems aim to make that problem a bit more tractable, and Dapper, a system by Google for large scale distributed systems tracing is one such system. The paper starts by setting the context for Dapper through the use of a real service: "universal search". In universal search, the user types in a query that gets federated to multiple search backends such as web search, image search, local search, video search, news search, as well as advertising systems to display ads. The results are then combined and presented back to the user. Thousands of machines could be involved in returning that result, and any poor p...