During the lockdown we managed to put together a book 📗 with @ka2nkara and @deyph on our work on FPGA-accelerated databases and it has been just published at Now Publishers 🥳https://t.co/RVerIqQzkt
Excited giving a talk at the @deem_workshop at @sigmod soon -- I will be talking about our experience in building ease. ml/ci and meter, two systems that try to provide some principled guidelines for the development process of "Software 2.0". Slides: https://t.co/SWPcYYKTpe
An early but running DataBright prototype: a data market that everyone contributes data + a computation market that everyone contributes GPUs. Goal: feed the data-/GPU- hungry ML. #NeuralNetworks+#Blockchains+#SmartContracts+#IntelSGX@dwddao still says I can't name it MaxHype☹ https://t.co/aJdb4DxBF0
new manuscript: How good are ML clouds provided by @Azure & @awscloud? mlbench is our benchmark derived from the winning codes of @kaggle https://t.co/z38pntWHFi