IOR is a parallel IO benchmark that can be used to test the performance of parallel storage systems using various interfaces and access patterns. The IOR repository also includes the mdtest benchmark which specifically tests the peak metadata rates of storage systems under different directory structures. Both benchmarks use a common parallel I/O abstraction backend and rely on MPI for synchronization.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures. Applications are expressed as a Direct Acyclic Graph of tasks with labeled edges designating data dependencies. PaRSEC assigns computation threads to the cores, overlaps communications and computations between nodes as well as between host and accelerators (like GPUs). It achieves these features by using a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and GPU awareness, as well as algorithmic features such as data reuse.

ViTE is a trace explorer. It is a tool to visualize execution traces of parallel programs (OpenMP, MPI, etc.) in Pajé or OTF format for debugging and profiling parallel or distributed applications. Such traces can be obtained using, for example, EZTrace.

Statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS.

strftime for JavaScript

EventEmitter3 focuses on performance while maintaining a Node.js AND browser compatible interface.

Tools for debugging your node.js modules and event loop

Deterministic and safely JSON.stringify to quickly serialize JavaScript objects

Check if something is a Node.js stream

Binary Search Trees

javascript implementation of Dunning's T-Digest for streaming quantile approximation

Client for prometheus

Streams3, a user-land copy of the stream library from Node.js

Extract names from functions

A logger for just about everything.

HTTP proxying for the masses

Plain color conversion functions

the complete solution for node.js command-line programs

Definitions of levels for logging purposes & shareable Symbol constants.

An mutable object-based log format designed for chaining & objectMode streams.

Tiny millisecond conversion utility