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poetryarchive.org | Poetry archive
My eldest brother is a doctor - I was a schoolboy when he was a medical student and one day he came back from working in the operating theatre in Cardiff when he was a dresser to a well-known brain surgeon by the name of Lambert Rogers. He came back as I say and told us a very strange story, a haunting story, and years passed and it still haunted me and eventually I put down what he said in this poem. You ought to know that brain surgery is done under a local anaesthetic - it was so since the First World War, this for blood pressure reasons. The operation in question took place in 1938 when they didn't have the scanning devices they now have which can pick out a lesion in the brain very cleverly, whereas in the past sometimes a surgeon, searching for the tumour or whatever it was, broke down more brain tissue than was necessary. 'In the theatre' - a true incident.
poetry 
4 hours ago
PRODUCT | THE NWBLK
Black Leather Tri-Pocket Jacket w/ Asymmetrical High Collar, Ribbed Hemline, and Extended Sleeve
Antique cow hide, Japanese screenprinted cotton lining.
5 days ago
Bloop - Wikipedia, the free encyclopedia
Bloop was an ultra-low-frequency and extremely powerful underwater sound detected by the U.S. National Oceanic and Atmospheric Administration (NOAA) in 1997. The sound was consistent with the noises generated by icequakes in large icebergs, or large icebergs scraping the ocean floor.
audio  sound 
8 days ago
9th Ave: John Darnielle & Robin Sloan | Green Apple Books
Please join us at Green Apple Books On The Park on Monday, September 29th at 7pm as we celebrate the release of John Darnielle’s (of The Mountain Goats) debut novel, Wolf in the White Van. He will be in conversation with Robin Sloan (Mr. Penumbra’s 24 Hour Bookstore).
sf  events  2014 
8 days ago
tungsten-replicator - A high performance, open source, data replication engine for MySQL - Google Project Hosting
Tungsten Replicator is an open source replication engine supporting a variety of different extractor and applier modules. Data can be extracted from MySQL, Oracle and Amazon RDS, and applied to transactional stores, including MySQL, Oracle, and Amazon RDS; NoSQL stores such as MongoDB, and datawarehouse stores such as Vertica, InfiniDB, and Hadoop.

During replication, Tungsten Replication assigns data a unique global transaction ID, and enables flexible statement and/or row-based replication of data. This enables data to be exchanged between different databases and different database versions. During replication, information can be filtered and modified, and deployment can be between on-premise or cloud-based databases. For performance, Tungsten Replicator includes support for parallel replication, and advanced topologies such as fan-in, star and multi-master, and can be used efficiently in cross-site deployments.

Tungsten Replicator is the core foundation for Continuent Tungsten clustering solution for HA, DR and geographically distributed solutions.
mysql  replication 
11 days ago
vitess/primecache.go at master · youtube/vitess · GitHub
// primecache primes the MySQL buffer cache with the rows that are
// going to be modified by the replication stream. It only activates
// if we're falling behind on replication.
db  vitess  mysql 
13 days ago
Sidekiq
Sidekiq is a full-featured background processing framework for Ruby. It aims to be simple to integrate with any modern Rails application and much higher performance than other existing solutions.
rails 
13 days ago
[1406.2294] A Fast, Minimal Memory, Consistent Hash Algorithm
We present jump consistent hash, a fast, minimal memory, consistent hash algorithm that can be expressed in about 5 lines of code. In comparison to the algorithm of Karger et al., jump consistent hash requires no storage, is faster, and does a better job of evenly dividing the key space among the buckets and of evenly dividing the workload when the number of buckets changes. Its main limitation is that the buckets must be numbered sequentially, which makes it more suitable for data storage applications than for distributed web caching.
research  caching  hashing  algorithm 
7 weeks ago
Evolution of the Netflix API
Ben Christensen describes how the Netflix API evolved from a typical one-size-fits-all RESTful API designed to support public developers into a web service platform optimized to handle the diversity and variability of each device and user experience. The talk will also address the challenges involving operations, deployment, performance, fault-tolerance, and rate of innovation at massive scale.
netflix  video 
9 weeks ago
apenwarr/netselect
A parallelizing combination of ping/traceroute
tools  networking 
11 weeks ago
HCF: Soundtrack - SuperMusicVision
COMPLETE HALT and CATCH FIRE SOUNDTRACK
hacf  tv  music 
12 weeks ago
Passive TCP Performance Analysis
             In the last two decades the Internet has changed a lot in terms of its bandwidth, types of applications and number of users, however, what has not changed is the fact that TCP is still the most popular transport protocol, accounting for more than 80% of the Internet traffic. Given TCP's wide-spread usage, its performance fundamentally impacts the performance of Internet transfers. Packet losses are known to affect TCP performance by impacting two important aspects of TCP - reliable delivery and congestion control. However, what is not well understood is exactly how much they affect TCP performance. The extent to which losses affect TCP performance depends on how well TCP deals with these losses. Current analysis techniques for TCP lack the level of details or accuracy required to illuminate the above issues. To achieve the required level of details and accuracy, We have developed a new analysis tool and have used it to study two different interactions between TCP and losses -- (i) TCP's efficiency in detecting packet losses when they occur and (ii) TCP's efficiency in avoiding losses when possible. We describe both our methodology and analysis below.
net  tcp 
april 2014
Big Data Benchmark
Several analytic frameworks have been announced in the last year. Among them are inexpensive data-warehousing solutions based on traditional Massively Parallel Processor (MPP) architectures (Redshift), systems which impose MPP-like execution engines on top of Hadoop (Impala, HAWQ) and systems which optimize MapReduce to improve performance on analytical workloads (Shark, Stinger/Tez). This benchmark provides quantitative and qualitative comparisons of five systems. It is entirely hosted on EC2 and can be reproduced directly from your computer.
db 
april 2014
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