John Nolan shows the state of hardware acceleration with GPUs and FPGAs, why it's hard to write efficient code for them, and why to favor polymorphism over if statements for performance.
It is hard to leverage the parallelism provided by recent processor architectures. As these CPUs are now available even in the low cost price sector, the main challenge of software engineers is to utilize the processors in their applications or apps. The International Conference on Multicore Software Engineering, Performance, and Tools (MSEPT'12) will focus on possible answers.
In his keynote at Sapphire 2009, Hasso Plattner, co-founder of SAP, explained that he sees multi-cores, and in memory column-oriented databases in the future of enterprise applications.
Although Node.js doesn’t expose traditional threads or bother directly with issues like multiple-processor concurrency, these issue do arise in production environments. InfoQ has conducted a virtual panel with the creators of Node.js projects that deal with these concerns.
In this presentation from the JVM Languages Summit 2009, Cliff Click discusses the Von Neumann architecture, CISC vs RISC, the rise of multicore, Instruction-Level Parallelism (ILP), pipelining, out-of-order dispatch, static vs dynamic ILP, performance impact of cache misses, memory performance, memory vs CPU caching, examples of memory/CPU cache interaction, and tips for improving performance.
This presentation explores how Erlang addresses the general problem of concurrent, real-time, fault-tolerant, and distributed parallel computing. The author argues that changes in the world of hardware and the complexity of the programs we write assure that sequential programs will decline in performance but parallel programs will increase performance.
In this interview from the Erlang Factory event in London, three creators of modern functional languages -- Martin Odersky, creator of Scala; Joe Armstrong, a creator of Erlang; and Don Syme, creator of F# -- discuss the similarities and differences of their creations. They also discuss their languages’ common thread -- that they integrate object-oriented features in functional languages.
