[Links of the Day] 06/10/2017 : HPC routing topology on dependency graph, Arm network stack development, Multicore graph processing

• Routing on the Channel Dependency Graph : the author aim are providing a toolset for topology calculation for HPC network. 
• Arm for network stack developers : arm is trying to slowly move up the stack into the data centre world. For that, it needs to address one of its main limitation: IO. This slide deck describe the current effort to tackle network stack limitation ( and support RDMA ) as well as providing pointer where ARM or devs can push the Linux stack further. As Linux is pretty much the only viable software stack for such hardware infrastructure in the datacenter. 
• Multicore graph processing : this present a very good overview of the Multicore graph processing problem, solution landscape and where it's heading. Graph problems are essential to solve in the domain of social network modelling as well as for items recommendation or search and website ranking. [slides]

[Links of the Day] 04/10/2017 : Tensor Flow Extended , 5d Torus , Machine learning influencing hardware designs

• TFX : Google paper describing it's tensor flow based platform for production scale deployment. It is impressive how they created a platform that delivers robust TensorFlow-based learners and support for continuous training and serving with production-level reliability. [video]
• 5d torus : when your 3d torus fabric is not enough :) . The authors demonstrate how using 6 port NIC they are able to achieve such feat. Its domain of application is still be limited to HPC environment as only tailored applications can leverage such network topology. However, there might be potential in the machine learning domain. There is only a future for such approach if they are able to demonstrate significant acceleration for popular problems ( ML ). And make is fungible for cloud-like deployment. I.e. you need to be able to easily partition a set of nodes connected by such network and share it in multitenancy model. [slides] [thesis]
• Machine Learning and the Implications for Computer System Design : Jeff Dean talk at hot chips 2017 conference. Jeff really really show the current influence of ML on the present and future hardware architecture. 

[Links of the day] 29/06/2016 : Behavioral Economics , Tofu and RapidIO interconnect

• Behavioral Economics Guide 2016 : Document looking at behavioral economics, the key takeaway that can be applied almost anywhere: when facing a problem or situation where all outcomes and probabilities are known and where the past determine the future (or looks like it), then you should leverage fine-tuned solutions such as complex optimization techniques. However if you have ( a significant ) uncertainty, then using robust solutions, including simple heuristics deliver better results. Sadly, the human nature tend to go for complexe solution in uncertain situation.. 
• Tofu 2 : system interconnect (25Gbps) designed for the successor model of the FUJITSU Supercomputer PRIME HPC FX10. [slides]
• Low Latency Analytics and Edge Connected Vehicles with RapidIO Interconnect : Interesting to see that rapidio interconnect is still alive and kicking. Looks like they are positioning as a full network stack solution ranging from cpu - cpu to box - box and with emphasis on IoT / analytic