Introduction
Over the years there has been an amazing number of of parallel computing efforts, will billions of dollars invested so far in R&D. There have been some bright spots for application specific parallel processors with limited programmability, but the success rate of general purpose parallel programmable processors is an approximate 0%. I compiled the the following list to stay sober regarding our own chances to succeed as a parallel processor company.  It shows most of the past, present, and future commercial efforts  in parallel computing. Please leave a comment if you have a correction or if you can help fill out some of the missing efforts.

Master List of Parallel Computing Efforts

Adapteva
Analog Devices-BlackFin
Altair
Altera
Ambric
AMD-APU
ARM-MP/Neon
ARM-Mali
Asocs
Aspex
AxisSemi
BOPS
Boston Circuits
Brightscale
Calxeda
Cavium
CEVA
Chameleon
Clearspeed
Cognimem
Cognivue
Cognovo
Coherent Logix
CoreSonic
CPUTech
Cradle
Cswitch
DesignArt
ElementCXI
EZChip
Freescale
Greenarrays
HP
IBM-Cell
IBM-Cyclopse
Icera-PowerVR
Imagination-PowerVR
Imec
Inmos-Transputer
Intel-TFLOPS
Intel-Larrabee
Intel-MIC
Intellasys
Intrinsity
IPFLex
Kalray
Mathstar
MobileEye
ModemArt
Morphics
Morpho
Movidius
NEC
Netlogic
Netronome
Nvidia
Octasic
PACT
Paneve
Picochip
Plurality
Quicksilver
Rapport
Raytheon-Monarch
Recore
Sandbridge
SiByte
SiCortex
Silicon Hive
Silicon Spice
Singular Computing
Sound Design
SpiralGateway
Stream Processors
Stretch
Tabula
Thinking Machines
TI
Tilera
TOPS
Venray
Xelerated
Xilinx
XMOS
Ziilabs