An enormous effort had been placed for converting sequential code to parallel in an automated way. In this regard, the frameworks like JOMP and JaMP, were proposed to facilitate Java programmers for parallelization of code. However, the programmer was still bound to provide directives to the compiler about possibly parallel portion of code and architectural specification in some predefined format. Moreover, these frameworks required source code as input, thereby constraining performance improvement subject to the availability of the source code. This paper proposed a framework called Hybrid Java Parallelizer (HJP) which was aimed at performance improvement through parallelization of Java code. It did not require source code for parallelization and was able to create threads according to the available cores. Experimentation was performed on the well-known matrix multiplication benchmark. Results showed that HJP achieved average speed-ups of 6.99, 3.54, and 6.98 times on machines having Intel Corei7, Core i5, and Xeon based processors, respectively.