Intel updates compilers for multicore era
Intel has announced major updates for its C++ and Fortran tools, updates that are aimed at making it easier for programmers to exploit thread-level and data-level parallelism in multicore processors. On the data parallelism side …
Context & Ripple Effects
Intel spent early 2007 repositioning around parallelism rather than clock speed: in January it told the market that future chips would run faster by using less power (a shift away from raw frequency), which only works if software can actually use many cores at once. The new C++ and Fortran compiler releases are the software half of that bargain — hardware gains are worthless to customers whose code is single-threaded.
First-order effects
- Developers writing C++ and Fortran — especially in scientific and high-performance computing, where Fortran still dominates — get built-in support for exploiting thread-level and data-level parallelism directly from Intel's toolchain.
Second-order effects
- Rival chipmakers now compete on software ecosystem, not silicon alone: whoever makes multithreaded programming easiest locks in developers, putting pressure on AMD and on independent toolchain vendors to match Intel's parallelism features.
Third-order effects
- If the pattern holds, performance becomes a co-design problem across chips, compilers, and application code — an industry structure in which processor vendors own the software stack that unlocks their hardware, and single-threaded code stops improving year over year.
The trend: As power constraints end the frequency-scaling era, chip vendors like Intel are extending control upward into compilers and developer tools so that multicore hardware can deliver real-world speedups.