Thrust 1.5.0

Thrust 1.5.0 provides introduces new programmer productivity and performance enhancements. New functionality for creating anonymous "lambda" functions has been added. A faster host sort provides 2-10x faster performance for sorting arithmetic types on (single-threaded) CPUs. A new OpenMP sort provides 2.5x-3.0x speedup over the host sort using a quad-core CPU. When sorting arithmetic types with the OpenMP backend the combined performance improvement is 5.9x for 32-bit integers and ranges from 3.0x (64-bit types) to 14.2x (8-bit types). A new CUDA reduce_by_key implementation provides 2-3x faster performance.

Breaking Changes

• device_ptr no longer unsafely converts to device_ptr without an explicit cast. Use the expression device_pointer_cast(static_cast<int*>(void_ptr.get())) to convert, for example, device_ptr to device_ptr.

New Features

• Algorithms:
  • Stencil-less thrust::transform_if.
• Lambda placeholders

New Examples

• lambda

Other Enhancements

• Host sort is 2-10x faster for arithmetic types
• OMP sort provides speedup over host sort
• reduce_by_key is 2-3x faster
• reduce_by_key no longer requires O(N) temporary storage
• CUDA scan algorithms are 10-40% faster
• host_vector and device_vector are now documented
• out-of-memory exceptions now provide detailed information from CUDART
• improved histogram example
• device_reference now has a specialized swap
• reduce_by_key and scan algorithms are compatible with discard_iterator

Bug Fixes

• #44 allow host_vector to compile when value_type uses __align__
• #198 allow adjacent_difference to permit safe in-situ operation
• #303 make thrust thread-safe
• #313 avoid race conditions in device_vector::insert
• #314 avoid unintended adl invocation when dispatching copy
• #365 fix merge and set operation failures

Known Issues

• None

Acknowledgments

• Thanks to Manjunath Kudlur for contributing his Carbon library, from which the lambda functionality is derived.
• Thanks to Jean-Francois Bastien for suggesting a fix for #303.