After Hours Academic

I attended the File and Storage Technologies (FAST) conference in Santa Clara last week.

Log-structured merge (LSM) trees are widely used in key-value stores and as the storage layer of database systems.

I recently faced some scenarios where I was afraid to put myself (more specifically, my thoughts/ideas) out there because of the fear of appearing stupid (i.e., my ideas not being good enough).

Any large-enough neural network training job (e.g., training a LLM or an image or video generation model) employs parallelism strategies.

Effective training time ratio (ETTR) defines the ratio of time spent in training to the wall clock time.

Highs [+] Changed jobs and landed at one I like [+] Learning new and interesting things at work (about carbon emissions and LLM training/inference) [+] Learnt to swim [+] Good amount of travel plus quality time with wife (Big Island, Rocky Mountains Natio…

Unless you have been living under a rock for the last couple of years or so, you already know what a large language models (LLM) is.

I did not realize I was being bullied.

I have been reading the classic consensus papers (Paxos, FLP) recently and the next one in line is about Byzantine Fault Tolerance (BFT).

FLP impossibility result states that there does not exist a fault-tolerant, safe, and live consensus protocol for an asynchronous distributed system.